{"content_id":"j0y5jkohoh","slug":"fde-salary-500-million-won-role-and-skills","locale":"en","schema_type":"Article","category":"knowledge_base","category_name":"Knowledge Base","title":"FDE 500 Million Won Salary: Requirements and Job Duties","summary":"An FDE is a developer who understands how a customer works and connects AI to operational systems. There are caveats to the claim of a 500 million won annual salary, and official job postings show pay ranges and required skills.","sponsorship_disclosure":null,"affiliate_disclosure":null,"commerce_disclosure":null,"author":{"name":"Injoys Editorial Team","url":"https://injoys.com/ko/about"},"key_points":["FDEs are engineers who handle everything from defining customer problems to developing systems and deploying them to production.","Published salary ranges apply to specific roles and do not represent the average salary of all FDEs.","To prepare for an FDE role, you need to add customer workflow analysis and the ability to make deployment decisions to your development skills.","You can gain relevant experience by working for a company, helping a company adopt AI internally, or building systems for customers.","FDEs are also responsible for leaving customers with systems they can operate themselves."],"content_markdown":"An FDE is a developer who connects AI to a customer’s work and makes it run in practice. An annual salary of 500 million won is not a standard compensation level for this role. Compensation must be checked against the terms of each job posting.\n\nThe compensation figures come from company job postings that do not show publication dates, so check the original postings for the latest terms. (Verified figures, annual compensation in the postings reviewed: OpenAI Seattle FDE base salary 185,000~300,000 dollars; Anthropic Staff FDE Annual Salary 280,000~320,000 dollars; Palantir Washington · source openai.com · checked 2026-10-21)\n\n## What does an FDE do?\n\nAn FDE is an engineer who turns a customer’s problem into working software. The full title is Forward Deployed Engineer. In Korean, the role is called a forward-deployed engineer or a front-line deployed engineer.\n\nIn AI, FDEs connect models to customers’ existing systems. Here, production means the operational environment where real users do their work. Understanding customer requirements is also part of the job.\n\nThe work can be described as follows.\n\n1. Identify problems in the current workflow with the customer’s staff.\n2. Set the scope of the data to be used and the systems to be accessed.\n3. Turn the problem to be solved into development requirements.\n4. Write code and connect it to existing systems.\n5. Evaluate the solution and deploy it to the production environment.\n6. Use operational results to improve the product.\n\nOpenAI’s Seattle FDE posting describes this entire process. Its measures of success include use in production. The impact on work is also assessed. [OpenAI FDE job posting](https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/)\n\n## What are the conditions behind a 500 million won annual salary?\n\nDo not treat an annual salary of 500 million won as the standard salary for FDEs. Published compensation ranges apply to specific locations and levels. The table below compares individual postings, not company-wide pay scales.\n\n| Company and posting | Location | Published annual compensation | Items to check separately |\n|---|---|---|---|\n| OpenAI, FDE | Seattle, U.S. | Base salary 185,000~300,000 dollars | Equity compensation, performance bonuses for eligible employees |\n| Anthropic, Staff FDE | New York, San Francisco, and Seattle, U.S. | Annual Salary in the posting: 280,000~320,000 dollars | Details of individual offers, including equity |\n| Palantir, FDSE - Edge Autonomous Systems | Washington D.C., U.S. | Estimated salary range 135,000~200,000 dollars | RSUs, signing bonuses, and other compensation may be added |\n\nThe table is based on job postings published by each company. The level and area of responsibility differ by posting. These ranges alone are not enough to judge which company pays more. [OpenAI posting](https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/), [Anthropic posting](https://job-boards.greenhouse.io/anthropic/jobs/5449229008), [Palantir posting](https://jobs.lever.co/palantir/27bf5707-96fa-460e-8a5b-53bc192ca87b?gh_src=Israel+VC+Forum+job+board)\n\nThe claim that OpenAI’s base salary reaches 400,000 dollars needs separate verification. The Seattle posting above lists an annual base salary ceiling of 300,000 dollars. Check the original posting before applying a figure from another job listing.\n\n### Comparing base salary and total compensation\n\nRead base salary and total compensation separately. Total compensation may include stock or performance bonuses. If comparing amounts in won, record the exchange rate used as well.\n\n| Item | Meaning | What to check |\n|---|---|---|\n| Base salary | Fixed cash pay | Annual amount and payment currency |\n| Performance bonus | Compensation that varies when conditions are met | Target amount and payment conditions |\n| Equity compensation | Compensation provided in stock or similar forms | Vesting schedule and conditions for converting it to cash |\n| RSU | Compensation in shares received when conditions are met | Number granted and vesting conditions |\n| Total compensation | The combined value of several compensation items | Included items and valuation basis |\n\n## Why hire FDEs as AI advances?\n\nTaken together, the official postings show demand for implementations tailored to customer environments. Generating an answer with a model is different from completing a task. Work remains to connect existing data and systems.\n\nGoogle’s Geo FDE posting includes work connecting to real infrastructure. It also calls for a framework to evaluate accuracy and latency. The role includes feeding recurring problems from the field back into product improvements. [Google Geo FDE job posting](https://www.google.com/about/careers/applications/jobs/results/134016342943507142-forward-deployed-engineer-generative-ai-geo?company=Google\u0026company=Google+Fiber\u0026company=YouTube\u0026employment_type=FULL_TIME\u0026hl=en_US\u0026jlo=en_US\u0026location=Seattle%2C+WA%2C+USA\u0026location=Washington%2C+USA\u0026page=1\u0026q=Cloud+Engineer\u0026skills=engineering\u0026sort_by=date\u0026src=Online%2FHouse+Ads%2FBKWS)\n\nThis work can be tied to the results customers get from adopting AI. The role can therefore be understood as combining technical work with customer-facing work. Job postings alone, however, cannot establish the reason for high compensation.\n\nFDE hiring does not prove that employment is growing for developers overall. Other developers also contribute to products and revenue. Dividing roles into people who spend money and people who earn it is inaccurate.\n\n## Comparing the work of other developers and FDEs\n\nA defining feature of FDE work is its close connection to a customer’s on-site problems. Much of the technical work overlaps with that of other developers. The comparison below describes the focus of each role.\n\n| Category | Product development-focused engineer | Customer deployment-focused FDE |\n|---|---|---|\n| Starting point | Product features and shared user needs | A specific customer’s work problem |\n| Main collaborators | Product, design, and development teams | Customer staff, development teams, and decision-makers |\n| What they develop | Product features used by many users | Connections and implementations tailored to the customer’s environment |\n| Ongoing improvements | Improve product features and operational quality | Solve on-site problems and feed lessons into shared features |\n| What counts as completion | Product-specific release and operational standards | Actual customer use and ability to operate the solution |\n\nDo not judge the scope of a role by the FDE title alone. The balance between advising and hands-on development can differ even under the same title. When applying, read the sections that describe responsibilities and deliverables.\n\n## Six skills FDEs need\n\nPreparing for an FDE role means adding customer problem-solving skills to development skills. Writing prompts alone is not enough to take responsibility for a production system. The items below group the work described in job postings into areas for learning.\n\n| Skill | What you need to do in practice | Evidence to keep as you prepare |\n|---|---|---|\n| Production engineering | Build APIs and data-processing workflows | Test results and error-handling records |\n| System design | Decide on components and how they connect | Architecture diagrams and reasons for design choices |\n| Customer discovery | Turn on-site work into development requirements | Workflow and requirements documents |\n| Deployment judgment | Set the scope of production use with failure scenarios in mind | Access-control design and recovery plan |\n| Communication | Explain matters so others can make decisions | Summary of the pros and cons of technical choices |\n| Using feedback | Turn recurring problems into improvements to shared features | Reusable modules and change records |\n\nCustomer discovery does not mean building a requested feature exactly as described. It means finding out where work actually gets stuck. It is also best to agree on how success will be judged before development begins.\n\nDeployment judgment includes deciding what to automate. Design a path for a person to take over when something fails. You should be able to explain the reasons for these decisions.\n\n## A workplace example: an internal HR chatbot\n\nAn internal HR chatbot is one example that can demonstrate system integration skills. The following is not a record of results from a specific company. It is a design example that looks at chatbot development from an FDE perspective.\n\n1. Choose a task to address from recurring inquiries.\n2. Identify the internal documents to use as the basis for answers.\n3. Organize document access permissions by employee.\n4. Decide how the chatbot should respond when it cannot find supporting information.\n5. Identify inquiries that must be passed to a staff member.\n6. Check answer quality using real inquiries.\n7. Document how to update the chatbot when documents change.\n\nInclude operating instructions in the deliverables, not just the answer interface. It should be possible to check which materials the chatbot reads. You also need a way to handle incorrect answers.\n\nPut only measured results in your portfolio. It is best to record the conditions before and after the comparison as well. Do not claim time or cost savings you have not verified.\n\n## Comparing entry paths based on your current situation\n\nYou can build relevant experience through employment, internal projects, or customer-facing implementation work. The responsibilities differ across these paths. Choose based on the work and customers you can currently access.\n\n| Path | Starting conditions | Deliverables to prepare | What to check |\n|---|---|---|---|\n| Employment as a company FDE | Development and customer-facing experience that matches the posting | Systems you have operated and examples of problems solved | Experience, location, and travel requirements |\n| Internal AI transition | Opportunity to work with operational staff | Records of improvements to HR, CS, and CRM work | Approval for data access and who will manage operations |\n| Customer-facing implementation business | A way to understand customer workflows | Implementation scope and maintenance plan | Cost responsibility and scope of support |\n\nOpenAI’s Seattle posting specifies **at least 5 years** of relevant experience. This includes experience in customer-facing work. This posting should therefore not be read as a benchmark for entry-level hiring. [OpenAI experience requirements](https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/)\n\nFor a customer-facing implementation business, calculate operating costs too. Charging a monthly subscription does not guarantee a profit. Model usage fees and maintenance work must be reflected in the contract scope.\n\nChoosing open-source tools does not remove operational responsibility. Check whether you can maintain them in the customer’s environment. Using a particular agent tool is not, by itself, a business model.\n\n## Customer handover and working conditions\n\nAn FDE’s deliverables must be in a state the customer can operate. Anthropic’s Staff FDE posting also explicitly mentions customer handover. That means you need to be able to explain responsibilities after implementation. [Anthropic scope of work](https://job-boards.greenhouse.io/anthropic/jobs/5449229008)\n\nAdding the following items to your portfolio can show how you approach operations. This preparation checklist makes the posting’s handover responsibility more concrete. For an actual project, agree on the necessary scope with the customer.\n\n- Who manages data and access permissions\n- How to check the system after model or document changes\n- Records and alerts for identifying errors\n- How to roll back to the previous state\n- How to check monthly usage costs\n- Work the customer will take over after support ends\n\nCheck flexibility around work location separately. OpenAI’s Seattle posting specifies 3 days a week in the office. The travel requirement is up to 50%. [OpenAI working conditions](https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/)\n\nAnthropic’s Staff FDE posting lists 25% travel. The requirement to work directly with customers also affects whether the role is right for you. Do not assume FDEs can work from anywhere. [Anthropic travel requirements](https://job-boards.greenhouse.io/anthropic/jobs/5449229008)\n\n## Common misconceptions about FDEs\n\nSeeing FDE only as a recently created, highly paid job title misses important context. Consider the role’s history separately from the conditions of individual jobs. Compare claims made by training programs with the skills the work actually requires.\n\n| Common interpretation | What to verify |\n|---|---|\n| A role created within the last 2 years | Records of the work exist from before the spread of generative AI |\n| All FDEs earn 500 million won a year | Compensation terms must be checked by company, level, and location |\n| Good prompt writing is all the preparation needed | Development and operational skills are required |\n| No dedicated degree program means no education requirements | Check the education and experience requirements for each posting |\n| Job postings prove it is the industry’s most in-demand role | Demand rankings require separate labor-market data |\n\nA Theory article dated October 16, 2026 describes experiences from 2012. The author says they worked on Palantir’s forward deployment team at the time. This record is inconsistent with the claim that the FDE role emerged only in the last 2 years. [Theory’s account of forward deployment experience](https://theoryvc.com/blog-posts/why-we-built-a-vc-firm-like-an-intelligence-agency-forward-deployment)\n\nCheck education requirements for each role too. Anthropic’s posting accepts a bachelor’s degree or equivalent experience, among other qualifications. That is different from requiring a degree dedicated to FDE work. [Anthropic applicant requirements](https://job-boards.greenhouse.io/anthropic/jobs/5449229008)\n\n## What should you learn, and what can wait?\n\nSet your learning priorities according to the skills needed to finish real work. The names of new models or frameworks alone are a poor basis for priorities. The following sequence is a suggestion for narrowing what you study.\n\n1. Choose one work problem to solve.\n2. Identify what you can build with your current development skills.\n3. Fill gaps in data integration and system design.\n4. Build evaluation and error-handling methods.\n5. Learn the tools needed to address problems that emerge during operation.\n\nWhen choosing a course or training program, check what you will produce. Look for assignments that involve interpreting customer requirements. Check whether the program covers evaluation and maintenance after deployment.\n\nPromotional claims for a particular training program are not evidence of hiring requirements. A certificate alone cannot predict your compensation either. It is better to build operational experience you can explain firsthand.","content_html":"\u003cp\u003eAn FDE is a developer who connects AI to a customer’s work and makes it run in practice. An annual salary of 500 million won is not a standard compensation level for this role. Compensation must be checked against the terms of each job posting.\u003c/p\u003e\n\u003cp\u003eThe compensation figures come from company job postings that do not show publication dates, so check the original postings for the latest terms. (Verified figures, annual compensation in the postings reviewed: OpenAI Seattle FDE base salary 185,000~300,000 dollars; Anthropic Staff FDE Annual Salary 280,000~320,000 dollars; Palantir Washington · source openai.com · checked 2026-10-21)\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-does-an-fde-do\" class=\"anchor\" id=\"what-does-an-fde-do\"\u003e\u003c/a\u003eWhat does an FDE do?\u003c/h2\u003e\n\u003cp\u003eAn FDE is an engineer who turns a customer’s problem into working software. The full title is Forward Deployed Engineer. In Korean, the role is called a forward-deployed engineer or a front-line deployed engineer.\u003c/p\u003e\n\u003cp\u003eIn AI, FDEs connect models to customers’ existing systems. Here, production means the operational environment where real users do their work. Understanding customer requirements is also part of the job.\u003c/p\u003e\n\u003cp\u003eThe work can be described as follows.\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eIdentify problems in the current workflow with the customer’s staff.\u003c/li\u003e\n\u003cli\u003eSet the scope of the data to be used and the systems to be accessed.\u003c/li\u003e\n\u003cli\u003eTurn the problem to be solved into development requirements.\u003c/li\u003e\n\u003cli\u003eWrite code and connect it to existing systems.\u003c/li\u003e\n\u003cli\u003eEvaluate the solution and deploy it to the production environment.\u003c/li\u003e\n\u003cli\u003eUse operational results to improve the product.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eOpenAI’s Seattle FDE posting describes this entire process. Its measures of success include use in production. The impact on work is also assessed. \u003ca href=\"https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/\"\u003eOpenAI FDE job posting\u003c/a\u003e\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-are-the-conditions-behind-a-500-million-won-annual-salary\" class=\"anchor\" id=\"what-are-the-conditions-behind-a-500-million-won-annual-salary\"\u003e\u003c/a\u003eWhat are the conditions behind a 500 million won annual salary?\u003c/h2\u003e\n\u003cp\u003eDo not treat an annual salary of 500 million won as the standard salary for FDEs. Published compensation ranges apply to specific locations and levels. The table below compares individual postings, not company-wide pay scales.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCompany and posting\u003c/th\u003e\n\u003cth\u003eLocation\u003c/th\u003e\n\u003cth\u003ePublished annual compensation\u003c/th\u003e\n\u003cth\u003eItems to check separately\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Company and posting\"\u003eOpenAI, FDE\u003c/td\u003e\n\u003ctd data-label=\"Location\"\u003eSeattle, U.S.\u003c/td\u003e\n\u003ctd data-label=\"Published annual compensation\"\u003eBase salary 185,000~300,000 dollars\u003c/td\u003e\n\u003ctd data-label=\"Items to check separately\"\u003eEquity compensation, performance bonuses for eligible employees\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Company and posting\"\u003eAnthropic, Staff FDE\u003c/td\u003e\n\u003ctd data-label=\"Location\"\u003eNew York, San Francisco, and Seattle, U.S.\u003c/td\u003e\n\u003ctd data-label=\"Published annual compensation\"\u003eAnnual Salary in the posting: 280,000~320,000 dollars\u003c/td\u003e\n\u003ctd data-label=\"Items to check separately\"\u003eDetails of individual offers, including equity\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Company and posting\"\u003ePalantir, FDSE - Edge Autonomous Systems\u003c/td\u003e\n\u003ctd data-label=\"Location\"\u003eWashington D.C., U.S.\u003c/td\u003e\n\u003ctd data-label=\"Published annual compensation\"\u003eEstimated salary range 135,000~200,000 dollars\u003c/td\u003e\n\u003ctd data-label=\"Items to check separately\"\u003eRSUs, signing bonuses, and other compensation may be added\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eThe table is based on job postings published by each company. The level and area of responsibility differ by posting. These ranges alone are not enough to judge which company pays more. \u003ca href=\"https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/\"\u003eOpenAI posting\u003c/a\u003e, \u003ca href=\"https://job-boards.greenhouse.io/anthropic/jobs/5449229008\"\u003eAnthropic posting\u003c/a\u003e, \u003ca href=\"https://jobs.lever.co/palantir/27bf5707-96fa-460e-8a5b-53bc192ca87b?gh_src=Israel+VC+Forum+job+board\"\u003ePalantir posting\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eThe claim that OpenAI’s base salary reaches 400,000 dollars needs separate verification. The Seattle posting above lists an annual base salary ceiling of 300,000 dollars. Check the original posting before applying a figure from another job listing.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#comparing-base-salary-and-total-compensation\" class=\"anchor\" id=\"comparing-base-salary-and-total-compensation\"\u003e\u003c/a\u003eComparing base salary and total compensation\u003c/h3\u003e\n\u003cp\u003eRead base salary and total compensation separately. Total compensation may include stock or performance bonuses. If comparing amounts in won, record the exchange rate used as well.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eItem\u003c/th\u003e\n\u003cth\u003eMeaning\u003c/th\u003e\n\u003cth\u003eWhat to check\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item\"\u003eBase salary\u003c/td\u003e\n\u003ctd data-label=\"Meaning\"\u003eFixed cash pay\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eAnnual amount and payment currency\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item\"\u003ePerformance bonus\u003c/td\u003e\n\u003ctd data-label=\"Meaning\"\u003eCompensation that varies when conditions are met\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eTarget amount and payment conditions\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item\"\u003eEquity compensation\u003c/td\u003e\n\u003ctd data-label=\"Meaning\"\u003eCompensation provided in stock or similar forms\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eVesting schedule and conditions for converting it to cash\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item\"\u003eRSU\u003c/td\u003e\n\u003ctd data-label=\"Meaning\"\u003eCompensation in shares received when conditions are met\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eNumber granted and vesting conditions\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item\"\u003eTotal compensation\u003c/td\u003e\n\u003ctd data-label=\"Meaning\"\u003eThe combined value of several compensation items\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eIncluded items and valuation basis\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003ch2\u003e\n\u003ca href=\"#why-hire-fdes-as-ai-advances\" class=\"anchor\" id=\"why-hire-fdes-as-ai-advances\"\u003e\u003c/a\u003eWhy hire FDEs as AI advances?\u003c/h2\u003e\n\u003cp\u003eTaken together, the official postings show demand for implementations tailored to customer environments. Generating an answer with a model is different from completing a task. Work remains to connect existing data and systems.\u003c/p\u003e\n\u003cp\u003eGoogle’s Geo FDE posting includes work connecting to real infrastructure. It also calls for a framework to evaluate accuracy and latency. The role includes feeding recurring problems from the field back into product improvements. \u003ca href=\"https://www.google.com/about/careers/applications/jobs/results/134016342943507142-forward-deployed-engineer-generative-ai-geo?company=Google\u0026amp;company=Google+Fiber\u0026amp;company=YouTube\u0026amp;employment_type=FULL_TIME\u0026amp;hl=en_US\u0026amp;jlo=en_US\u0026amp;location=Seattle%2C+WA%2C+USA\u0026amp;location=Washington%2C+USA\u0026amp;page=1\u0026amp;q=Cloud+Engineer\u0026amp;skills=engineering\u0026amp;sort_by=date\u0026amp;src=Online%2FHouse+Ads%2FBKWS\"\u003eGoogle Geo FDE job posting\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eThis work can be tied to the results customers get from adopting AI. The role can therefore be understood as combining technical work with customer-facing work. Job postings alone, however, cannot establish the reason for high compensation.\u003c/p\u003e\n\u003cp\u003eFDE hiring does not prove that employment is growing for developers overall. Other developers also contribute to products and revenue. Dividing roles into people who spend money and people who earn it is inaccurate.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#comparing-the-work-of-other-developers-and-fdes\" class=\"anchor\" id=\"comparing-the-work-of-other-developers-and-fdes\"\u003e\u003c/a\u003eComparing the work of other developers and FDEs\u003c/h2\u003e\n\u003cp\u003eA defining feature of FDE work is its close connection to a customer’s on-site problems. Much of the technical work overlaps with that of other developers. The comparison below describes the focus of each role.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCategory\u003c/th\u003e\n\u003cth\u003eProduct development-focused engineer\u003c/th\u003e\n\u003cth\u003eCustomer deployment-focused FDE\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eStarting point\u003c/td\u003e\n\u003ctd data-label=\"Product development-focused engineer\"\u003eProduct features and shared user needs\u003c/td\u003e\n\u003ctd data-label=\"Customer deployment-focused FDE\"\u003eA specific customer’s work problem\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eMain collaborators\u003c/td\u003e\n\u003ctd data-label=\"Product development-focused engineer\"\u003eProduct, design, and development teams\u003c/td\u003e\n\u003ctd data-label=\"Customer deployment-focused FDE\"\u003eCustomer staff, development teams, and decision-makers\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eWhat they develop\u003c/td\u003e\n\u003ctd data-label=\"Product development-focused engineer\"\u003eProduct features used by many users\u003c/td\u003e\n\u003ctd data-label=\"Customer deployment-focused FDE\"\u003eConnections and implementations tailored to the customer’s environment\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eOngoing improvements\u003c/td\u003e\n\u003ctd data-label=\"Product development-focused engineer\"\u003eImprove product features and operational quality\u003c/td\u003e\n\u003ctd data-label=\"Customer deployment-focused FDE\"\u003eSolve on-site problems and feed lessons into shared features\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Category\"\u003eWhat counts as completion\u003c/td\u003e\n\u003ctd data-label=\"Product development-focused engineer\"\u003eProduct-specific release and operational standards\u003c/td\u003e\n\u003ctd data-label=\"Customer deployment-focused FDE\"\u003eActual customer use and ability to operate the solution\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eDo not judge the scope of a role by the FDE title alone. The balance between advising and hands-on development can differ even under the same title. When applying, read the sections that describe responsibilities and deliverables.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#six-skills-fdes-need\" class=\"anchor\" id=\"six-skills-fdes-need\"\u003e\u003c/a\u003eSix skills FDEs need\u003c/h2\u003e\n\u003cp\u003ePreparing for an FDE role means adding customer problem-solving skills to development skills. Writing prompts alone is not enough to take responsibility for a production system. The items below group the work described in job postings into areas for learning.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eSkill\u003c/th\u003e\n\u003cth\u003eWhat you need to do in practice\u003c/th\u003e\n\u003cth\u003eEvidence to keep as you prepare\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eProduction engineering\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eBuild APIs and data-processing workflows\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eTest results and error-handling records\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eSystem design\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eDecide on components and how they connect\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eArchitecture diagrams and reasons for design choices\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eCustomer discovery\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eTurn on-site work into development requirements\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eWorkflow and requirements documents\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eDeployment judgment\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eSet the scope of production use with failure scenarios in mind\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eAccess-control design and recovery plan\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eCommunication\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eExplain matters so others can make decisions\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eSummary of the pros and cons of technical choices\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Skill\"\u003eUsing feedback\u003c/td\u003e\n\u003ctd data-label=\"What you need to do in practice\"\u003eTurn recurring problems into improvements to shared features\u003c/td\u003e\n\u003ctd data-label=\"Evidence to keep as you prepare\"\u003eReusable modules and change records\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eCustomer discovery does not mean building a requested feature exactly as described. It means finding out where work actually gets stuck. It is also best to agree on how success will be judged before development begins.\u003c/p\u003e\n\u003cp\u003eDeployment judgment includes deciding what to automate. Design a path for a person to take over when something fails. You should be able to explain the reasons for these decisions.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#a-workplace-example-an-internal-hr-chatbot\" class=\"anchor\" id=\"a-workplace-example-an-internal-hr-chatbot\"\u003e\u003c/a\u003eA workplace example: an internal HR chatbot\u003c/h2\u003e\n\u003cp\u003eAn internal HR chatbot is one example that can demonstrate system integration skills. The following is not a record of results from a specific company. It is a design example that looks at chatbot development from an FDE perspective.\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eChoose a task to address from recurring inquiries.\u003c/li\u003e\n\u003cli\u003eIdentify the internal documents to use as the basis for answers.\u003c/li\u003e\n\u003cli\u003eOrganize document access permissions by employee.\u003c/li\u003e\n\u003cli\u003eDecide how the chatbot should respond when it cannot find supporting information.\u003c/li\u003e\n\u003cli\u003eIdentify inquiries that must be passed to a staff member.\u003c/li\u003e\n\u003cli\u003eCheck answer quality using real inquiries.\u003c/li\u003e\n\u003cli\u003eDocument how to update the chatbot when documents change.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eInclude operating instructions in the deliverables, not just the answer interface. It should be possible to check which materials the chatbot reads. You also need a way to handle incorrect answers.\u003c/p\u003e\n\u003cp\u003ePut only measured results in your portfolio. It is best to record the conditions before and after the comparison as well. Do not claim time or cost savings you have not verified.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#comparing-entry-paths-based-on-your-current-situation\" class=\"anchor\" id=\"comparing-entry-paths-based-on-your-current-situation\"\u003e\u003c/a\u003eComparing entry paths based on your current situation\u003c/h2\u003e\n\u003cp\u003eYou can build relevant experience through employment, internal projects, or customer-facing implementation work. The responsibilities differ across these paths. Choose based on the work and customers you can currently access.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003ePath\u003c/th\u003e\n\u003cth\u003eStarting conditions\u003c/th\u003e\n\u003cth\u003eDeliverables to prepare\u003c/th\u003e\n\u003cth\u003eWhat to check\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Path\"\u003eEmployment as a company FDE\u003c/td\u003e\n\u003ctd data-label=\"Starting conditions\"\u003eDevelopment and customer-facing experience that matches the posting\u003c/td\u003e\n\u003ctd data-label=\"Deliverables to prepare\"\u003eSystems you have operated and examples of problems solved\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eExperience, location, and travel requirements\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Path\"\u003eInternal AI transition\u003c/td\u003e\n\u003ctd data-label=\"Starting conditions\"\u003eOpportunity to work with operational staff\u003c/td\u003e\n\u003ctd data-label=\"Deliverables to prepare\"\u003eRecords of improvements to HR, CS, and CRM work\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eApproval for data access and who will manage operations\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Path\"\u003eCustomer-facing implementation business\u003c/td\u003e\n\u003ctd data-label=\"Starting conditions\"\u003eA way to understand customer workflows\u003c/td\u003e\n\u003ctd data-label=\"Deliverables to prepare\"\u003eImplementation scope and maintenance plan\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eCost responsibility and scope of support\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eOpenAI’s Seattle posting specifies \u003cstrong\u003eat least 5 years\u003c/strong\u003e of relevant experience. This includes experience in customer-facing work. This posting should therefore not be read as a benchmark for entry-level hiring. \u003ca href=\"https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/\"\u003eOpenAI experience requirements\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eFor a customer-facing implementation business, calculate operating costs too. Charging a monthly subscription does not guarantee a profit. Model usage fees and maintenance work must be reflected in the contract scope.\u003c/p\u003e\n\u003cp\u003eChoosing open-source tools does not remove operational responsibility. Check whether you can maintain them in the customer’s environment. Using a particular agent tool is not, by itself, a business model.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#customer-handover-and-working-conditions\" class=\"anchor\" id=\"customer-handover-and-working-conditions\"\u003e\u003c/a\u003eCustomer handover and working conditions\u003c/h2\u003e\n\u003cp\u003eAn FDE’s deliverables must be in a state the customer can operate. Anthropic’s Staff FDE posting also explicitly mentions customer handover. That means you need to be able to explain responsibilities after implementation. \u003ca href=\"https://job-boards.greenhouse.io/anthropic/jobs/5449229008\"\u003eAnthropic scope of work\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eAdding the following items to your portfolio can show how you approach operations. This preparation checklist makes the posting’s handover responsibility more concrete. For an actual project, agree on the necessary scope with the customer.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eWho manages data and access permissions\u003c/li\u003e\n\u003cli\u003eHow to check the system after model or document changes\u003c/li\u003e\n\u003cli\u003eRecords and alerts for identifying errors\u003c/li\u003e\n\u003cli\u003eHow to roll back to the previous state\u003c/li\u003e\n\u003cli\u003eHow to check monthly usage costs\u003c/li\u003e\n\u003cli\u003eWork the customer will take over after support ends\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eCheck flexibility around work location separately. OpenAI’s Seattle posting specifies 3 days a week in the office. The travel requirement is up to 50%. \u003ca href=\"https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/\"\u003eOpenAI working conditions\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eAnthropic’s Staff FDE posting lists 25% travel. The requirement to work directly with customers also affects whether the role is right for you. Do not assume FDEs can work from anywhere. \u003ca href=\"https://job-boards.greenhouse.io/anthropic/jobs/5449229008\"\u003eAnthropic travel requirements\u003c/a\u003e\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#common-misconceptions-about-fdes\" class=\"anchor\" id=\"common-misconceptions-about-fdes\"\u003e\u003c/a\u003eCommon misconceptions about FDEs\u003c/h2\u003e\n\u003cp\u003eSeeing FDE only as a recently created, highly paid job title misses important context. Consider the role’s history separately from the conditions of individual jobs. Compare claims made by training programs with the skills the work actually requires.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCommon interpretation\u003c/th\u003e\n\u003cth\u003eWhat to verify\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eA role created within the last 2 years\u003c/td\u003e\n\u003ctd data-label=\"What to verify\"\u003eRecords of the work exist from before the spread of generative AI\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eAll FDEs earn 500 million won a year\u003c/td\u003e\n\u003ctd data-label=\"What to verify\"\u003eCompensation terms must be checked by company, level, and location\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eGood prompt writing is all the preparation needed\u003c/td\u003e\n\u003ctd data-label=\"What to verify\"\u003eDevelopment and operational skills are required\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eNo dedicated degree program means no education requirements\u003c/td\u003e\n\u003ctd data-label=\"What to verify\"\u003eCheck the education and experience requirements for each posting\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eJob postings prove it is the industry’s most in-demand role\u003c/td\u003e\n\u003ctd data-label=\"What to verify\"\u003eDemand rankings require separate labor-market data\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eA Theory article dated October 16, 2026 describes experiences from 2012. The author says they worked on Palantir’s forward deployment team at the time. This record is inconsistent with the claim that the FDE role emerged only in the last 2 years. \u003ca href=\"https://theoryvc.com/blog-posts/why-we-built-a-vc-firm-like-an-intelligence-agency-forward-deployment\"\u003eTheory’s account of forward deployment experience\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003eCheck education requirements for each role too. Anthropic’s posting accepts a bachelor’s degree or equivalent experience, among other qualifications. That is different from requiring a degree dedicated to FDE work. \u003ca href=\"https://job-boards.greenhouse.io/anthropic/jobs/5449229008\"\u003eAnthropic applicant requirements\u003c/a\u003e\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-should-you-learn-and-what-can-wait\" class=\"anchor\" id=\"what-should-you-learn-and-what-can-wait\"\u003e\u003c/a\u003eWhat should you learn, and what can wait?\u003c/h2\u003e\n\u003cp\u003eSet your learning priorities according to the skills needed to finish real work. The names of new models or frameworks alone are a poor basis for priorities. The following sequence is a suggestion for narrowing what you study.\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eChoose one work problem to solve.\u003c/li\u003e\n\u003cli\u003eIdentify what you can build with your current development skills.\u003c/li\u003e\n\u003cli\u003eFill gaps in data integration and system design.\u003c/li\u003e\n\u003cli\u003eBuild evaluation and error-handling methods.\u003c/li\u003e\n\u003cli\u003eLearn the tools needed to address problems that emerge during operation.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eWhen choosing a course or training program, check what you will produce. Look for assignments that involve interpreting customer requirements. Check whether the program covers evaluation and maintenance after deployment.\u003c/p\u003e\n\u003cp\u003ePromotional claims for a particular training program are not evidence of hiring requirements. A certificate alone cannot predict your compensation either. It is better to build operational experience you can explain firsthand.\u003c/p\u003e\n","tags":["Labor Market","Generative AI","AI Agents","AI Development","Technology strategy"],"faqs":[{"question":"What does FDE stand for?","answer":"It stands for Forward Deployed Engineer. The role involves identifying problems in a customer's work environment and implementing software. In AI, FDEs connect models to existing systems."},{"question":"Do FDEs earn an annual salary of 500 million won?","answer":"That is not a compensation standard that applies to everyone. The published figures are ranges for specific companies, job levels, and locations. Check base salary and equity compensation separately."},{"question":"Is the maximum base salary for an OpenAI FDE $400,000?","answer":"The Seattle posting I checked lists a base salary of $185,000 to $300,000 per year. This posting does not confirm a maximum of $400,000. Check the original posting for the job you plan to apply for."},{"question":"Is an FDE the same as a prompt engineer?","answer":"Writing prompts can be part of an FDE's work. FDEs also handle system integration and deployment to production. The role is difficult to describe based on prompt-writing skills alone."},{"question":"Do you need AI research experience to apply?","answer":"Requirements vary by job posting. The postings I checked emphasize developing production systems and collaborating with customers. Check each posting to see whether research experience is required."},{"question":"Did the FDE role emerge within the past 2 years?","answer":"It is hard to describe it that way. Theory's October 16, 2026 article mentions an experience with on-site deployment at Palantir in 2012. Related roles existed before generative AI became widespread."},{"question":"Do you have to work at a big tech company to gain relevant experience?","answer":"You can also gain relevant experience through internal AI transformation or by building systems for customers. The key is experience defining customer problems and taking responsibility through to operations. Distinguish between a job title and the actual scope of work."},{"question":"Can FDEs work remotely from abroad without restrictions?","answer":"Remote work is not a standard condition. Some postings require customer visits and office work. Check the work location and travel requirements before applying."},{"question":"What should an FDE portfolio include?","answer":"Include the business task you are addressing and your design decisions. It is also a good idea to document evaluation results and error-handling methods. Add handover documentation so the customer can continue operating the system."},{"question":"Can an AI implementation business generate stable revenue by charging a monthly subscription fee?","answer":"A monthly subscription fee alone is not enough to assess profitability. Model usage fees and maintenance costs may arise. Set the scope of support for each customer before calculating costs."}],"sources":[{"url":"https://openai.com/careers/forward-deployed-engineer-%28fde%29-seattle-seattle/","title":"OpenAI, Forward Deployed Engineer (FDE) - Seattle job posting","type":"source"},{"url":"https://job-boards.greenhouse.io/anthropic/jobs/5449229008","title":"Anthropic, Staff Forward Deployed Engineer job posting","type":"source"},{"url":"https://jobs.lever.co/palantir/27bf5707-96fa-460e-8a5b-53bc192ca87b?gh_src=Israel+VC+Forum+job+board","title":"Palantir, Forward Deployed Software Engineer - Edge Autonomous Systems job posting","type":"source"},{"url":"https://www.google.com/about/careers/applications/jobs/results/134016342943507142-forward-deployed-engineer-generative-ai-geo?company=Google\u0026company=Google+Fiber\u0026company=YouTube\u0026employment_type=FULL_TIME\u0026hl=en_US\u0026jlo=en_US\u0026location=Seattle%2C+WA%2C+USA\u0026location=Washington%2C+USA\u0026page=1\u0026q=Cloud+Engineer\u0026skills=engineering\u0026sort_by=date\u0026src=Online%2FHouse+Ads%2FBKWS","title":"Google, Forward Deployed Engineer, Generative AI, Geo job posting","type":"source"},{"url":"https://theoryvc.com/blog-posts/why-we-built-a-vc-firm-like-an-intelligence-agency-forward-deployment","title":"Theory, Why We Built a VC Firm Like an Intelligence Agency: Forward Deployment, October 16, 2026","type":"source"}],"images":[{"id":1998,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6MzA3MzksInB1ciI6ImJsb2JfaWQifX0=--d48c3f759a494a0a83b8ee5e7aa9fcded8435ba5/ai-324aa6bf.webp","is_representative":true,"generation_method":"ai_photo","license":"ai_generated","mime_type":"image/webp","width":1536,"height":1024,"translations":{"ko":{"alt":"물류창고에서 안전 조끼를 입은 두 사람이 택배 상자가 지나가는 분류 컨베이어를 살펴본다.","caption":"FDE는 고객이 직접 운영할 수 있도록 AI를 기존 업무 시스템에 연결해야 합니다.","description":null},"en":{"alt":"Two people in safety vests watch parcels move along a sorting conveyor in a warehouse.","caption":"An FDE must connect AI to existing workflows so the client can operate the system independently.","description":null},"ja":{"alt":"物流倉庫で安全ベストを着た二人が、荷物の流れる仕分けコンベヤーを見守っている。","caption":"FDEには、顧客が自ら運用できるようAIを既存の業務システムにつなぐ責任があります。","description":null},"es":{"alt":"Dos personas con chalecos de seguridad observan paquetes en una cinta clasificadora de un almacén.","caption":"Un FDE debe integrar la IA en los sistemas existentes para que el cliente pueda operarla por su cuenta.","description":null},"id":{"alt":"Dua orang berompi keselamatan mengamati paket di konveyor pemilah dalam gudang.","caption":"FDE harus menghubungkan AI ke sistem yang sudah ada agar klien dapat mengoperasikannya sendiri.","description":null},"pt":{"alt":"Duas pessoas de colete de segurança observam encomendas numa esteira de triagem em um armazém.","caption":"O FDE deve integrar a IA aos sistemas existentes para que o cliente possa operá-la por conta própria.","description":null},"zh-hant":{"alt":"物流倉庫裡，兩名穿著安全背心的人看著包裹經過分揀輸送帶。","caption":"FDE 必須將 AI 接入既有業務系統，讓客戶能自行營運。","description":null},"de":{"alt":"Zwei Personen in Warnwesten beobachten Pakete auf einem Sortierförderband in einem Lager.","caption":"FDEs müssen KI in bestehende Abläufe einbinden, damit Kunden das System selbst betreiben können.","description":null}}},{"id":1999,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6MzA3NDAsInB1ciI6ImJsb2JfaWQifX0=--306b6e42d6539c134292c461e815ecfcc0192dea/ai-b28d1ee5.webp","is_representative":false,"generation_method":"ai_semi","license":"ai_generated","mime_type":"image/webp","width":1536,"height":1024,"translations":{"ko":{"alt":"사무실에서 여성이 AI 업무 흐름 화면의 사람 담당 단계을 가리키고, 옆의 남성이 듣고 있다.","caption":"FDE는 AI에서 사람에게 업무를 넘기는 절차까지 실제 운영에 맞게 설계해야 합니다.","description":null},"en":{"alt":"A woman points to the human handoff in an AI workflow on a wall display while a man listens beside her.","caption":"An FDE must design the handoff from AI to staff to work in day-to-day operations.","description":null},"ja":{"alt":"女性が壁の画面に表示されたAI業務フローの人への引き継ぎを指し、隣で男性が話を聞いている。","caption":"FDEはAIから人へ業務を引き継ぐ手順も、実際の運用に合わせて設計する必要があります。","description":null},"es":{"alt":"Una mujer señala el paso a una persona en un flujo de trabajo de IA en pantalla mientras un hombre la escucha.","caption":"Un FDE debe diseñar el traspaso de tareas de la IA al personal para que funcione en la operación diaria.","description":null},"id":{"alt":"Seorang perempuan menunjuk tahap serah terima ke manusia pada alur kerja AI di layar, sementara pria di sisinya menyimak.","caption":"FDE juga harus merancang alih tugas dari AI ke staf agar sesuai dengan operasional sehari-hari.","description":null},"pt":{"alt":"Uma mulher aponta a etapa de transferência para uma pessoa num fluxo de trabalho de IA na tela, enquanto um homem escuta.","caption":"O FDE deve planejar a passagem de tarefas da IA para a equipe de modo que funcione na operação diária.","description":null},"zh-hant":{"alt":"辦公室裡，一名女子指著螢幕上 AI 工作流程轉交人員的步驟，身旁一名男子正在聆聽。","caption":"FDE 也須依實際營運需求，設計 AI 將工作轉交人員的流程。","description":null},"de":{"alt":"Eine Frau zeigt auf die Übergabe an Menschen in einem KI-Ablauf auf dem Bildschirm, während ein Mann zuhört.","caption":"Ein FDE muss auch die Übergabe von Aufgaben der KI an Mitarbeitende für den Arbeitsalltag gestalten.","description":null}}}],"published_at":"2026-10-21T01:57:22+09:00","updated_at":"2026-10-21T01:57:22+09:00","license":"cc_by","translation_status":"reviewed","available_locales":["ko","en","ja","es"],"data_locales":["ko","en","ja","es","id","pt","zh-hant","de"],"url":"https://injoys.com/en/articles/fde-salary-500-million-won-role-and-skills"}