Amazon Principal Generative AI Solutions Architect Strategic Accounts 

United States, Washington, Seattle 

271561770

You’ll design autonomous agent architectures that leverage Amazon Bedrock’s advanced capabilities for reasoning, planning, and execution across enterprise workflows. Working directly with product teams, you’ll influence AWS’s agentic AI roadmap while helping customers implement agent broker patterns, supervisor patterns, and multi-agent collaboration frameworks that enable AI systems to perceive environments, make decisions, and take actions with minimal human oversight. You’ll conduct performance evaluations of agent reasoning capabilities, develop compelling demos showcasing autonomous AI workflows, and create proof-of-concepts that demonstrate how agentic systems can transform business processes through goal-directed operation.In this role, you’ll shape the future of enterprise AI while continuously developing novel solutions to complex business challenges. Using AWS’s comprehensive AI stack including Amazon Bedrock, Amazon SageMaker, and Amazon Q, you’ll implement agentic systems with advanced capabilities including memory retention, cognitive processing, and retrieval augmented generation. You’ll design solutions that enable AI agents to break down user requests, gather relevant information through perception modules, and efficiently complete multistep tasks through cognitive modules that employ deep learning, reinforcement learning, and probabilistic reasoning.
At AWS, you’ll pioneer the next frontier in computing by creating AI agents that go beyond content generation to autonomously execute tasks, interact with enterprise systems, and make real-time decisions. Whether implementing CrewAI frameworks for collaborative agent teams or designing custom agent workflows for specific industry challenges, you’ll help organizations build scalable, maintainable AI systems that evolve with their business needs and drive unprecedented transformation across industries.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
Key job responsibilities
• Design and implement autonomous AI agent architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, and Amazon Q
• Architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges
• Develop strategic technical roadmaps and implementation plans for agentic AI solutions that align with customers’ business objectives and existing architecture
• Conduct performance evaluations of agent reasoning capabilities and create proof-of-concepts that demonstrate how agentic systems can transform business processes
• Collaborate with cross-functional teams including business analysts, developers, and project managers to integrate agentic AI solutions into existing systems
• Stay current with the latest advancements in agentic AI research and AWS service capabilities to improve system performance and recommend optimal technology stacks
• Communicate complex technical concepts to stakeholders, translating technical elements into business language that demonstrates clear value
• Mentor team members and contribute to knowledge sharing within the organization to advance agentic AI adoption and implementation best practices
A day in the life
• Reviewing customer requirements and technical challenges, focusing on opportunities to implement autonomous AI agent architectures that can transform business outcomes
• Conduct customer business and technical enablement meetings to discuss how agentic AI solutions can solve complex cloud challenges through self-examination, planning, and multi-agent collaboration
• Develop proof-of-concepts that demonstrate how agentic systems can transform business processes through goal-directed, autonomous operation
• Influencing service team leadership and product marketing on the future needs for customers, prioritizing roadmap features and GTM messaging
• Dedicate time to continuous learning about the latest advancements in agentic AI research and AWS service capabilities, particularly focusing on Amazon Bedrock’s evolving capabilities
• Participate in knowledge sharing activities with colleagues, creating field enablement materials to help other SAs understand how to integrate AWS AI agent solutions into customer architectures

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloudPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.