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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed AI Integrator, Field Engineering - **Company:** Amazon.com, Inc. - **Location:** Herndon, VA, United States - **Experience:** Experienced - **Salary:** $127,100.0 - $172,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Cloud Computing, Data Centers, Python (Programming Language), Cloud Platform System, AI Platforms, Information Technology - **Published:** July 16, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10441472/forward-deployed-ai-integrator-field-engineering ## About the Role Bachelor's degree in engineering, computer science or equivalent - 3+ years of experience in technical program management, workflow automation, or operational analytics - Experience with GenAI platforms, agentic tooling, or AI-enabled operational workflows, Knowledge of mechanical, electrical, and controls systems for critical infrastructures - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience within large-scale infrastructure, operational engineering, or data center environments - Experience building reusable engineering tooling or lightweight operational playbooks ## Description Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically - driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region. This is a hands-on execution role - not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region. Key job responsibilities Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms Track and report adoption metrics and operational KPIs to regional and senior FE leadership Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards A day in the life You are embedded in the regional Field Engineering team - working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. You spend your time identifying what's slowing engineers down, prototyping AI-assisted solutions, and driving adoption of what works. You are a dedicated member of the regional team, accountable for making AI integration real and measurable. You bring technical depth, operational curiosity, and a bias for action. You move fast, learn from what you build, and share what works with the broader FE AI integration community. You are known in your region as the person who makes AI practical - and delivers it. About the team Field Engineering supports critical operational functions across global AWS infrastructure. The organization spans multiple engineering disciplines and regions - covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement. The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. ## Related Videos - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [This App Reached 10,000 Users in One Week. 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