Senior Software Engineer, AWS Commercial Application Services

Senior Software Development EngineerThis 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.Key job responsibilities include defining the technical direction for your team, owning architectural decisions, and driving cross-team alignment in a fast-paced, high-velocity environment, building partner-driven solutions alongside skillful builders, senior engineers, and architects. You'll 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.You'll 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. You'll build detailed technical specifications, master diverse domains, and turn ambiguity into shipped products. You'll 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. All team members actively participate in product definition, architecture reviews, iterative development, code review, and operations. Clear, professional communication with teammates, customers, and partners is essential.A day in the life includes identifying partner pain points and making architectural decisions that blend scalability, security, and AI innovation. You'll rapidly prototype solutions using AI agents, validate them through load testing, and drive cross-team alignment with partner service teams. You'll mentor engineers through design reviews, troubleshoot complex distributed failures, and document decisions to empower future teams. Occasional travel may be required based on engineering work requirements with partners.About the team, the AI & Strategic Partner Engineering team empowers AWS partners to innovate at cloud scale. We're pioneers in integrating AI-driven capabilities into partner offerings, building secure, scalable foundations for tomorrow's enterprise workloads. Join us to redefine what's possible for partners on AWS. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members thrive on one-on-one collaboration, thorough but kind code reviews, and the autonomy to drive high-impact technical decisions. We invest in your growth through challenging projects that expand your architectural breadth and leadership influence.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.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.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.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.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- 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 techniquesPreferred Qualifications- 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- 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