Amazon
Senior Software Development Engineer, Frontier AI Tools
$168K–$227K
Austin, TX +2 · Senior · Full-time · Posted Oct 1, 2026
- Location
- Austin, TX
Seattle, WA
Arlington, VA - Experience
- 5+ years in software development, programming, and system design or architecture; 3+ years in agentic or workflow orchestration. Also requires mentoring, tech lead, or engineering team leadership experience.
- Education
- Bachelor's degree in computer science or equivalent (preferred).
About the job
Build and operate software tools, platforms, and workflows that help AWS Proserve and Frontier AI teams understand customer needs, develop solutions, coordinate delivery, and measure customer outcomes.
What you'll do
- Own technical design, implementation, and operational health of platform capabilities or delivery workflows.
- Build production-grade software, reusable components, APIs, integrations, and automation for customer solution delivery.
- Lead design reviews, security and reliability practices, and engineering collaboration; mentor engineers and communicate decisions and progress.
What they ask for
- 5+ years of non-internship professional software development experience.
- 5+ years programming with at least one software programming language.
- 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience mentoring, serving as a tech lead, or leading an engineering team; 3+ years designing and building agentic or workflow-orchestration systems.
Nice to have
- 5+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent; experience building AI/ML-powered product features, security-by-design, or integrations with enterprise SaaS platforms or governed data products.
Pay
USD 168,100.00 - 227,400.00 annually (base salary)
Tools
AWS, Salesforce, PHI, BAA
AI focus
Drive AI-driven transformation of sales-to-delivery processes; build agentic or workflow-orchestration systems and AI/ML-powered product features, including evaluation, accuracy/precision tuning, or production hallucination reduction.
Model-written summary · the original posting is authoritative