Sr Solution Architect AI/ML Strategic Accounts EMEA, Strategic Accounts EMEA

Are you passionate about pioneering the future of autonomous AI systems and eager to solve real-world problems with the latest agentic solutions The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS partners with our most advanced customers to develop transformative solutions leveraging AWSs comprehensive AI/ML stack. As a GenAI Solutions Architect specializing in agentic systems youll architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges.

Youll design autonomous agent architectures that leverage Amazon Bedrocks advanced capabilities for reasoning planning and execution across enterprise workflows. Working directly with product teams youll influence AWSs 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. Youll 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 youll shape the future of enterprise AI while continuously developing novel solutions to complex business challenges. Using AWSs comprehensive AI stack including Amazon Bedrock Amazon SageMaker and Amazon Q youll implement agentic systems with advanced capabilities including memory retention cognitive processing and retrieval augmented generation. Youll 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 youll 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 youll help organizations build scalable maintainable AI systems that evolve with their business needs and drive unprecedented transformation across industries.

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Work/Life Balance
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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

About the team
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

- 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

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