Sr Software Engineer, AWS Applied AI Solutions – Core Services
Amazon· Software Development
Seattle, WA$168.1k - $227.4kFull-timePosted 1mo ago
About the role
Lead the Core Services AI building blocks initiative within AWS Applied AI Solutions, owning a critical AI agent capability area, shaping architecture and strategy, mentoring teams, and delivering reusable enterprise-grade AI components across AWS business applications.
Responsibilities
- Own the technical architecture and strategy for a critical AI agent capability area setting the foundation for enterprise-scale AI solutions across AWS
- Lead projects requiring multiple engineers balancing business goals with technical excellence while navigating ambiguous problem spaces
- Research evaluate and integrate state-of-the-art AI technologies making informed decisions about build vs. buy approaches
- Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
- Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
- Champion engineering best practices establishing a culture of robust software development with exemplary code organization clarity and maintainability
- Mentor and coach other engineers fostering technical growth while creating an environment where your team thrives independently
- Communicate complex technical designs to diverse audiences from engineers to non-technical stakeholders and senior leadership
Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ 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
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience designing and implementing AI/ML systems, including working with LLMs, prompt engineering, retrieval augmented generation (RAG), fine-tuning, or AI agent development
- Proven track record building distributed systems with well-designed APIs that operate reliably at enterprise scale
- Demonstrated ability to create reusable software components with clean interfaces that can be leveraged by multiple teams
- Strong working knowledge of AWS AI/ML services such as Amazon Bedrock, SageMaker, and related infrastructure
- Successful history of cross-organizational collaboration, driving technical convergence while maintaining delivery velocity
Skills
Required:Technical leadershipAI/ML systems designDistributed systems
Benefits
- base salary mentioned: USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
- sign-on payments and restricted stock units (RSUs)
- comprehensive benefits including health insurance (medical, dental, vision, prescription, life & AD&D options), EAP, Mental Health Support, FSA, adoption and surrogacy reimbursement
- 401(k) matching
- paid time off
- parential leave
Last updated Oct 25, 2026. Interested? Apply on the company site.
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