The Opportunity:
This is a rare chance to define and build the foundational AI infrastructure that powers the next generation of agentic and ML-driven applications at global scale. You will shape the architectural backbone that enables enterprises to seamlessly combine human and AI capabilities - driving large-scale systems for workflow orchestration, real-time decisioning, and autonomous operations across a wide range of industries.
You'll influence how businesses move beyond traditional software into fully integrated, intelligent operational environments. The systems and frameworks you architect will be the foundation that millions of businesses ultimately rely on as Amazon expands its applied AI capabilities. It's a high-impact, high-visibility role with real ownership - and the opportunity to leave a lasting mark on the future of enterprise AI.
What You'll Do:
Technical Leadership
• Architect and drive the technical vision for next-generation AI infrastructure and platforms that enable Agentic AI capabilities across our service portfolio
• Design the foundational systems, frameworks, and intelligent agents that make human-AI collaboration intuitive, trustworthy, and productive
• Build highly reliable, secure, and scalable distributed systems that seamlessly scale from small businesses to global enterprises
• Define technical standards and best practices for integrating AI capabilities across diverse domains - from multi-modal communications and geospatial intelligence to IoT and autonomous operations
• Create extensible architectures that support expansion into new business applications, establishing reusable patterns that teams across Amazon can build upon
• Make difficult trade-off decisions and drive awareness of the downstream impact of technical choices
• Align multiple teams to a coherent technical vision and deliver systems that fit well together
Key job responsibilities
Innovation & Building:
• Lead the design of enterprise-grade systems that solve complex distributed systems challenges at scale - from prototypes and demos through to production
• Architect systems that integrate human and AI workforces for next-generation business operations, including workflow orchestration and real-time decisioning
• Design solutions for high-volume workflow optimisation and process automation
• Develop APIs and integration patterns for seamless interoperability across AI-powered applications
• Drive technical innovation and establish reusable patterns and frameworks that accelerate teams across the organisation
Organizational Impact:
• Drive a strong engineering excellence and operational culture across all products and teams
• Mentor and guide senior and principal engineers while solving complex technical challenges hands-on
• Scout and recruit top technical talent, actively growing the engineering community
• Work cross-functionally with Principal Engineers and teams across AWS Applied AI Solutions
• Engage with key customers in executive briefings, communicating an inspiring technical vision
BASIC QUALIFICATIONS
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent
• 10+ years of experience leading large-scale projects in software development, infrastructure, architecture, compute, or networking
• 8+ years of design, architecture, implementation, or consulting experience with distributed applications running on cloud
• Technical expertise in designing, architecting, and building complex, large-scale distributed systems
• Experience improving software development lifecycle processes, best practices, operations, and automation
• Experience mentoring and growing engineering communities on complex technical challenges
• Solid coding practices including peer code reviews, unit testing, and agile development
• Excellent written and verbal communication skills with the ability to present complex technical information clearly to diverse audiences
PREFERRED QUALIFICATIONS
• Master's or PhD in Computer Science or Computer Engineering
• 15+ years of relevant experience
• 5+ years of design, architecture, implementation, or consulting experience with distributed applications on AWS
• 3+ years working directly with enterprise customers to assess needs, identify solutions, and resolve technical disagreements
• Experience with big data systems, analytics, containerised microservices, serverless functions, and event-driven architecture
• Experience shipping business-grade AI solutions and agentic systems
• Hands-on experience building and iterating on AI/ML-driven products, including prototypes through production systems
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 200,100.00 - 270,600.00 USD annually
USA, WA, Bellevue - 200,100.00 - 270,600.00 USD annually
USA, WA, SEATTLE - 200,100.00 - 270,600.00 USD annually
USA, WA, Seattle - 200,100.00 - 270,600.00 USD annually
