Software Development Engineer II, AWS AI & Strategic Partner Engineering

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.

If you're passionate about designing, developing, and delivering diverse solutions for AWS customers and partners that truly make a difference in their business, learning and mastering challenging engineering domains, and shaping the future of AI-driven cloud services, then we have an exciting opportunity for you. 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.

A wave of innovation is revolutionizing partner ecosystems through AI-driven automation, secure multi-cloud architectures, and elastic scalability — reshaping how global enterprises deploy and use mission-critical cloud solutions. We are seeking a Software Development Engineer to build new capabilities and solutions, to help customers and partners, run their workloads (like SAP) on AWS. The AI & Strategic Partner Engineering team architects and builds deep integrations with partners and customers leveraging these partner solutions on AWS platforms, creating seamless interoperability that accelerates time-to-market for joint customer successes. Our team is expanding to deliver wide-ranging innovations across multiple and complex engineering domains (like security, AI/ML, distributed systems, emerging AWS services, etc.), while pioneering Agentic AI and LLM integrations that enable rapid prototyping and deployment through collaborative AI agent workflows.

Key job responsibilities
As a software development engineer in the AI & Strategic Partner Engineering team, you’ll be a self-starter in fast-paced, high-velocity environments to build new capabilities for partner-driven solutions, including strategic collaborations with industry leaders like SAP, working alongside skillful builders, senior engineers and architects. You'll design system architecture and spearhead operational best practices in the design and delivery of new products and solutions. All team members actively participate in product definition, technical architecture reviews, iterative development, code review, and operations. Along with this, you'll have the opportunity to interact with customers and partners, to understand and ensure their needs are met. Clear, professional, verbal and written communication with teammates and customers is an important part of the job.

Partner Solution Leadership
- Design & deliver mission-critical solutions for AWS partners across various engineering domains, not limiting to security, AI/ML, distributed systems, databases, VPC, and emerging AWS services
- Build detailed technical specifications and collaborate with AI agents to rapidly prototype and validate solutions
- Architect and deliver integrations between partners (like SAP) and AWS-native services, enabling seamless data flow, identity management, and compliance for global enterprises.
Engineering Excellence
- Master diverse domains: Security frameworks, AI/ML pipelines, distributed databases, cloud-native infrastructure (VPC, EC2, S3, etc.), and Agentic AI/LLM integrations
- Drive innovation through experimentation with large language models, autonomous agents, and generative AI tools to solve partner challenges
- Own full-stack development from design to deployment, emphasizing high availability, performance, and customer delight
- You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high-quality software that delights customers.
Collaborative Execution
- Thrive in fast-paced, ambiguity-rich environments with tight deadlines — turning ideas into production-ready solutions quickly
- Partner deeply with cross-functional teams (Product, Security, AI Research) to align technical strategies with business goals
- Mentor junior engineers and foster a culture of knowledge-sharing, while maintaining rigorous code quality through peer reviews



A day in the life
You’ll start by discovering partner pain points, then design architectures that blend security, scalability, and AI innovation. Using AI agents, you’ll rapidly prototype solutions, validate them through load testing, and collaborate with partners to ensure adoption. When deadlines tighten, you’ll lead brainstorming sessions, troubleshoot complex distributed failures, and document everything to empower future teams.

About the team
The WWCO Partner Systems-Fixed 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 enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

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.

Inclusive Team Culture

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.

Mentorship & Career Growth

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.

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, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

- 4+ years of non-internship professional software development experience
- 4+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 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
- Bachelor's degree or equivalent

PREFERRED QUALIFICATIONS

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience developing or deploying Large Language Models in production, and deep knowledge of Agentic AI tools, agents, workflows, and integration patterns