Amazon Sr Solution Architect AI/ML Strategic Accounts 

United Kingdom, England, London 

936287471

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 BalanceKey job responsibilities• 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
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.
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

- Multiple years of specific technology domain experience in the field of Analytics, AI/ML or Generative AI
- 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 cloud