This role at AWS Applied AI Solutions focuses on defining and building the foundational AI infrastructure for next-generation agentic and ML-driven applications. The team aims to empower businesses by integrating human and AI capabilities to enhance operational efficiency. This high-impact position offers the opportunity to influence the evolution of enterprise AI solutions and requires strong technical leadership. The successful candidate will work on architecting systems that support intelligent operations across various industries.

• 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.
• 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.

• 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.
• Create extensible architectures that support expansion into new business applications.
• Lead the design of enterprise-grade systems that solve complex distributed systems challenges at scale.
• Architect systems that integrate human and AI workforces for next-generation business operations.
• 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.
• 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.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.