Full Job Description
We are looking for a Senior Forward Deployed Engineer to embed directly with Product Managers and marketing teams across AWS. You'll turn their highest-friction workflows into AI-first systems where AI agents can reinvent how work gets done. Your role: figure out what the future-state workflow needs to look like, design how agents and humans collaborate within it, wire the systems together, and drive the effort from prototype to production. You are the connective tissue between what's possible and what actually ships.
The work spans the full content lifecycle - web publishing, creative production, localization, brand operations. One week you may be wiring an agent into a creative workflow, the next redesigning how global content flows across AWS properties through AI-enabled translations, the next prototyping a system that turns a brief into a publishable asset with a human in the loop at exactly the right moments.
This is not a traditional role. You put working software in people's hands to validate ideas in hours, not weeks. You are comfortable with MCPs, orchestration frameworks, and tool integrations, and you have the product judgment to know what's worth scaling versus what's just technically interesting. In a world where everyone can build with AI, you bring great taste: the ability to distinguish great from good through deep customer empathy, structured problem framing, and relentless focus on adoption as the finish line.
60% building, 40% leading. You'll have executive sponsorship and engineering partners to scale what works. Your prototypes won't die in a backlog; they'll become platform investments that serve hundreds of marketers and touch millions of customer-facing assets.
Key job responsibilities
Build to learn. Take identified opportunities and turn them into working prototypes using model APIs, agent frameworks, and lightweight code. Compress the distance from idea to conviction.
Design the human-agent experience. Define where humans stay in the loop, at which steps, and with what controls. Shape how marketers discover and interact with agents, and how agents collaborate with each other through protocols, context passing, and trust signals.
Turn validated prototypes into production architectures. Partner with engineering to move from "this works" to "this ships". Defining the technical path, integration points, and data contracts that make a prototype durable.
Own agent quality in production. Define evaluation frameworks, set quality thresholds, monitor drift after model or data changes, and drive continuous improvement based on real usage.
Build the scaffolding that accelerates the team. Create reusable patterns, agent templates, integration blueprints, and reference architectures that make PMs and engineers faster at shipping AI-native workflows.
Evangelize what's possible. Run workshops and provocations that help stakeholders experience the future through working artifacts, not decks. Turn skeptics into co-owners by putting working software in their hands.
About the team
The Content, Brand Technology and Applied AI team builds the foundational technology that powers content creation, management, and distribution for AWS Marketing. We are at the forefront of integrating AI and agentic orchestration into marketing workflows, working across content generation, asset management, content health, localization, and channel distribution. Our systems serve hundreds of marketers and touch millions of customer-facing content assets across aws.amazon.com.
We move fast, we build with taste, and we measure success not by what ships but by what gets adopted and loved. We believe the best way to shape the future is to build it, validate it, and put it in people's hands.
This is a unique opportunity to shape the AI-powered future of content technology at AWS Marketing. You will work at the intersection of AI, content management, and marketing technology, with significant ownership to define the design technology practice from the ground up and drive outcomes felt across the organization.
Relevant Leadership Principles: Think Big, Invent and Simplify, Bias for Action, Earn Trust.
BASIC QUALIFICATIONS
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong technical fluency: comfort working directly with engineers, understanding system architectures, and integrating across APIs, MCPs, and data pipelines
- Demonstrated ability to build functional prototypes or near-production artifacts using AI/ML tools, no-code/low-code platforms, or direct coding, not just writing requirements for others to build
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience in Forward Deployed, Solutions PM, or Field PM roles embedded directly with customer teams rather than within a single product silo
- Experience building or managing AI agent systems, orchestration frameworks, or multi-agent architectures
- Background in creative workflows, content management systems, digital asset management, localization platforms, or compliance/governance systems
- Experience designing and facilitating workshops, design sprints, or structured ideation sessions with senior stakeholders
- Experience leading cross-functional teams (engineering, design, data science, marketing) to deliver products with measurable business impact
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon 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.
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
