From Amazon's posting. “We” and “our” refer to the employer.
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
The SAIL (Streamlined Automation & Innovation Launchpad) team is part of the AWS Specialist and Partner Organization (ASP) and works across three areas: automating large-scale partner programs to eliminate manual review cycles, enabling partners to build and ship GenAI products, and accelerating customer production workloads through partner AI capabilities. Every team member writes production code. The tech stack centers on agentic AI services (Bedrock, AgentCore, MCP), serverless infrastructure, and evaluation-driven development.
This role has two pillars. First, you work with engineering teams and co-build AI agents that replace multi-week manual partner-program processes with minutes of automated assessment. Second, you co-build with partners on prioritized AI use cases and drive customer success, leading PoC engagements end-to-end from the first discovery call through working code through the final executive readout. Production code, multi-agent architecture design, and direct communication with partner leadership are all part of the daily work.
You own your assigned workstreams with limited guidance. You make architecture decisions within established patterns, communicate directly with partner engineering and business leaders, and are accountable for the technical outcomes of your engagements. When ambiguity arises, you define the path forward rather than waiting for direction.
Key job responsibilities
Co-build AI agents with APO engineering
Work with engineering teams to design, build, and deploy AI agents that automate partner-program processes: technical validations, competency assessments, contract review, co-sell workflows, and MSP tooling.
Architect externalization pipelines that move agents from internal proof-of-concept into Partner Central, where they run against live partner workflows.
Develop multi-agent orchestration using AWS Bedrock, AgentCore, and MCP servers
Integrate agents with Partner Central platform APIs and federation layers
Improve agent accuracy and decision quality through prompt engineering, retrieval-augmented generation (RAG), and evaluation passes
Contribute infrastructure-as-code patterns, shared evaluation suites, and reusable agent templates that multiply team output
Co-build with partners and drive customer success
Own the full engagement lifecycle for your assigned partner engagements: discovery, architecture, build, delivery, and executive readout
Design solution architectures and build-specs for agentic AI workloads
Build working code (serverless, event-driven, multi-agent) and run evaluation passes to validate quality before delivery
Deliver agentic AI workshops that walk partner engineering teams through architecture, development, and deployment patterns
Create reusable assets that scale to many partners
Drive customer outcomes through partner-attached AI workloads
A day in the life
Check engagement status and answer technical questions on Slack. Join architecture calls to validate partner designs. Write agent code (Lambda handlers, Step Functions orchestration, Bedrock configurations) and push to shared repositories. Run evaluation suites and tune prompts until quality targets are met. Run a hands-on workshop for partner engineers. Ship an agents that automates a program-review workflow. Write an architecture document or discovery summary. Collaborate with other PSAs on customer opportunities where partner attachment drives revenue. Bring partner feedback directly to an AWS service team.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic Qualifications
2+ years of design, implementation, or consulting in applications and infrastructures experience
4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
4+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
3+ years of design, implementation, or consulting in applications and infrastructures experience
Experience migrating or transforming legacy customer solutions to the cloud
Experience working with AWS technologies from a dev/ops perspective
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our 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.
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, VA, Arlington - 131,300.00 - 177,600.00 USD annually
About this listing
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