Software Development Engineer, Specialist AI Tooling, Specialist Technology Team

AWS Specialist Technology Team (STT) is seeking a Software Development Engineer to join the Specialist AI Tooling engineering team - the group building AI-native agentic solutions that are fundamentally transforming how thousands of AWS technical specialists and field team members develop expertise get matched to customer engagements and how AWS service teams consume customer feedback at scale. If you want to build production agentic AI systems that impact thousands of users daily - not research prototypes but real AI agents solving real problems - this is the role for you.

You will design build and operate core components across four interconnected products that collectively power the intelligence layer of AWSs specialist ecosystem:

- AWS Learning Agent - A new generative AI-powered agentic learning system that replaces static training paths with personalized cross-domain skill development for every builder in the AWS technical field. Powered by a structured skill graph persistent learner profiles and the Specialist Knowledge Vault the Learning Agent delivers adaptive learning journeys via a custom console in Kiro Claude Quick and wherever builders work.

- Intelligent Routing Agent - A new AI-driven routing engine that matches 136K annual specialist requests to verified domain experts using validated skill profiles rather than manually maintained lists - reducing resolution time (currently 7.72 days) and enabling precision matching at scale.

- Technical Field Community (TFC) Hub - The platform powering 46 Technical Field Communities managing member engagement competency tracking learning path orchestration and community-driven content curation across AWSs specialist network.

- Service 360 - A GenAI summarization and prioritization engine that aggregates customer feedback signals (PFRs SpecReqs SFDC Opportunity data) into categorized prioritized service recommendations - automating what was previously a manual closed-loop feedback process to influence the roadmap for AWS public service teams.

This is a high-impact AI-first engineering role where you will build agentic systems ship production GenAI features and solve hard problems at the intersection of knowledge graphs multi-agent orchestration LLM-powered personalization and retrieval-augmented generation - all at AWS scale using the very AI services AWS builds for its customers.

Key job responsibilities
- Design and implement production agentic AI systems using LLMs knowledge graphs RAG and multi-agent orchestration - delivering personalized learning paths and intelligent expert-matching to thousands of field members daily.

- Build and optimize GenAI-powered pipelines including summarization content ranking skill assessment and intelligent routing - ensuring low latency high quality and cost efficiency at scale.

- Develop and iterate on prompt engineering strategies evaluation frameworks and guardrails for production LLM systems - ensuring quality safety and reliability.

- Implement embedding and retrieval strategies for a knowledge base optimizing how domain expertise is indexed retrieved and contextualized for agent consumption.

- Design and build scalable distributed systems and APIs that power the TFC Hub platform serving thousands of community members across 46 technical domains.

- Drive operational excellence for production services - owning CI/CD monitoring alarming on-call and incident response for systems serving thousands of daily users.

- Contribute to technical strategy and architecture decisions proactively identifying opportunities to improve system performance reliability and developer velocity.

- Collaborate with Product Management Science and field stakeholders to translate ambiguous customer problems into well-scoped technical solutions.

About the team
You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The pace of innovation is high the problems are ambiguous and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape how teams consume and act on AI-powered tools - building systems from the ground up that define the future of specialist expertise at AWS

About AWS
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.


- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 1 years of software development engineer or related occupational experience
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 for more information. If the country/region youre applying in isnt 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 NJ Jersey City - 158100.00 - 213800.00 USD annually
USA WA Seattle - 143700.00 - 194400.00 USD annually