Senior Solution Architect, Amazon

• 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

Desirable

• The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS partners with our most advanced customers to develop transformative solutions leveraging AWS’s comprehensive AI/ML stack
• As a GenAI Solutions Architect specializing in agentic systems, you’ll architect multi-agent ecosystems where specialized AI agents collaborate through sophisticated orchestration frameworks to solve complex enterprise challenges
• 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
• 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
• 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