Senior Software Engineer, AWS Commercial Application Services

Amazon • Seattle, WA

3d • $168,100 - $227,400 • Onsite

About The Position

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.

Agentic AI and large language models are shaping how enterprise software gets built, deployed, and operated at scale. We're hiring a Senior Software Development Engineer to lead that charge, architecting AI-driven solutions that reshape how partners like SAP run mission-critical workloads on AWS. This role demands a self-starter mindset, rapid experimentation, and expertise in partner ecosystems, ideal for engineers who love learning, challenging norms, and building prototypes that ship.

The AI & Strategic Partner Engineering team builds deep integrations between AWS and strategic partners, creating seamless interoperability that accelerates time-to-market for joint customers. We're expanding across Agentic AI, LLM-powered workflows, distributed systems, security, and emerging AWS services, pioneering collaborative AI agent patterns that turn weeks of integration work into days. A wave of innovation is revolutionizing partner ecosystems through AI-driven automation, secure architectures, and elastic scalability, reshaping how global enterprises deploy and operate cloud solutions.

Requirements

• 7+ years of programming with at least one software programming language experience
• 5+ years of non-internship professional software development 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
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Autonomous Agent & Generative AI Engineering: Experienced in creating, maintaining, and successfully deploying multiple autonomous AI agents into production systems for enterprise customers and external partners. Possesses a deep understanding of different AI-native technologies, with demonstrated success implementing robust guardrails

Nice To Haves

• 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Responsibilities

• Define the technical direction for your team, own architectural decisions, and drive cross-team alignment in a fast-paced, high-velocity environment, building partner-driven solutions alongside skillful builders, senior engineers, and architects.
• Design and deliver mission-critical integrations between partners (like SAP) and AWS-native services spanning Agentic AI, LLM workflows, distributed systems, security, databases, and emerging AWS services, enabling seamless data flow, identity management, and compliance for global enterprises.
• Architect AI-augmented SDLC patterns, collaborate with AI agents to rapidly prototype and validate solutions, and own full-stack delivery from design through production, emphasizing high availability, performance, and customer delight.
• Build detailed technical specifications, master diverse domains, and turn ambiguity into shipped products.
• Mentor junior engineers, partner with cross-functional teams (Product, Security, AI Research), influence roadmaps through data and credibility, and represent your team externally to partner service teams and leadership.
• Actively participate in product definition, architecture reviews, iterative development, code review, and operations.
• Communicate clearly and professionally with teammates, customers, and partners.
• Identify partner pain points and make architectural decisions that blend scalability, security, and AI innovation.
• Rapidly prototype solutions using AI agents, validate them through load testing, and drive cross-team alignment with partner service teams.
• Troubleshoot complex distributed failures, and document decisions to empower future teams.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree