{"schemaVersion":"jobsearcher.job.v1","id":"a42100db83e0e223352e7c16","url":"https://jobsearcher.com/jobs/a42100db83e0e223352e7c16","canonicalUrl":"https://jobsearcher.com/jobs/a42100db83e0e223352e7c16","title":"Forward Deployed Engineer, AWS Forward Deployed Engineering","description":"A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDE IIs write production-grade software and own delivery of complete AI workstreams end-to-end — from requirements gathering through production deployment — combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.\nFDE IIs are autonomous contributors. They deliver working features spanning the full software lifecycle. They design cohesive implementations for ambiguous problems, making design trade‑offs with appropriate guidance. They take on projects where the business problem is understood but implementations are not fully fleshed out, balancing constraints and limiting short‑term workarounds. They coach others on producing high‑quality code and train new team members.\nKey job responsibilities\nEmbed within customer engineering teams. Work with customers, stakeholders, and peers to understand the business and customer value of the systems you build. Understand the customer's business processes, technical architecture, and operational constraints. Translate customer requirements into technical designs for AI‑enabled production systems within your workstream. Requires 30–50% travel.\nBuild production AI applications. Design and develop production‑grade software powering AI and agentic workflows — retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and identifying simple designs for solutions. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost.\nOwn production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved. Implement monitoring, evaluations, guardrails, and CI/CD that keep AI systems healthy. Don't settle for the status quo — routinely identify and execute on opportunities to improve operations.\nMentor and uplift. Actively mentors and trains new team members on how systems are constructed, operated, and fit into the bigger picture. Coach others on producing high‑quality code through mechanisms such as code review. Be active in the code review process, providing meaningful feedback to others.\nAccelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement. Codify reusable patterns and accelerators that benefit future customer deployments and feed back into AWS services. Make enhancements that improve your team's software and processes.\nBasic Qualifications\n\n3+ years of non‑internship professional software development experience\n2+ years of experience working in an Agile, startup, or rapidly scaling environment\nExperience communicating technical concepts to both technical and non‑technical audiences\nDegree in Computer Science or related field, or equivalent professional experience\nExperience with agentic and spec‑driven development (developing AI agents a plus)\nExperience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering\n\nPreferred Qualifications\n\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nExperience working in customer production environments\nExperience building or deploying AI/ML applications in production environments\nBackground as a founder, engineering lead, or startup builder with high ownership and urgency\nPrior experience with React, TypeScript, Python, and/or Go\nExperience interfacing with customers or leading technical projects with external stakeholders\nExperience working with teams that build and scale end‑to‑end production systems\nExperience with AWS services\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nAmazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, MA, Boston - 143,700.00 - 194,400.00 USD annually\nUSA, NY, New York - 158,100.00 - 213,800.00 USD annually\nUSA, VA, Arlington - 143,700.00 - 194,400.00 USD annually\nUSA, WA, Seattle - 143,700.00 - 194,400.00 USD annually\nCompany - Amazon Web Services, Inc.\nJob ID: A10576500\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T04:13:51.860Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer, AWS Forward Deployed Engineering","description":"A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDE IIs write production-grade software and own delivery of complete AI workstreams end-to-end — from requirements gathering through production deployment — combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.\nFDE IIs are autonomous contributors. They deliver working features spanning the full software lifecycle. They design cohesive implementations for ambiguous problems, making design trade‑offs with appropriate guidance. They take on projects where the business problem is understood but implementations are not fully fleshed out, balancing constraints and limiting short‑term workarounds. They coach others on producing high‑quality code and train new team members.\nKey job responsibilities\nEmbed within customer engineering teams. Work with customers, stakeholders, and peers to understand the business and customer value of the systems you build. Understand the customer's business processes, technical architecture, and operational constraints. Translate customer requirements into technical designs for AI‑enabled production systems within your workstream. Requires 30–50% travel.\nBuild production AI applications. Design and develop production‑grade software powering AI and agentic workflows — retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and identifying simple designs for solutions. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost.\nOwn production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved. Implement monitoring, evaluations, guardrails, and CI/CD that keep AI systems healthy. Don't settle for the status quo — routinely identify and execute on opportunities to improve operations.\nMentor and uplift. Actively mentors and trains new team members on how systems are constructed, operated, and fit into the bigger picture. Coach others on producing high‑quality code through mechanisms such as code review. Be active in the code review process, providing meaningful feedback to others.\nAccelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement. Codify reusable patterns and accelerators that benefit future customer deployments and feed back into AWS services. Make enhancements that improve your team's software and processes.\nBasic Qualifications\n\n3+ years of non‑internship professional software development experience\n2+ years of experience working in an Agile, startup, or rapidly scaling environment\nExperience communicating technical concepts to both technical and non‑technical audiences\nDegree in Computer Science or related field, or equivalent professional experience\nExperience with agentic and spec‑driven development (developing AI agents a plus)\nExperience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering\n\nPreferred Qualifications\n\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nExperience working in customer production environments\nExperience building or deploying AI/ML applications in production environments\nBackground as a founder, engineering lead, or startup builder with high ownership and urgency\nPrior experience with React, TypeScript, Python, and/or Go\nExperience interfacing with customers or leading technical projects with external stakeholders\nExperience working with teams that build and scale end‑to‑end production systems\nExperience with AWS services\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nAmazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, MA, Boston - 143,700.00 - 194,400.00 USD annually\nUSA, NY, New York - 158,100.00 - 213,800.00 USD annually\nUSA, VA, Arlington - 143,700.00 - 194,400.00 USD annually\nUSA, WA, Seattle - 143,700.00 - 194,400.00 USD annually\nCompany - Amazon Web Services, Inc.\nJob ID: A10576500\n#J-18808-Ljbffr","datePosted":"2026-11-04T04:13:51.860Z","dateModified":"2026-11-04T04:13:51.860Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a42100db83e0e223352e7c16"},"url":"https://jobsearcher.com/jobs/a42100db83e0e223352e7c16"}}