Principal Generative AI Solutions Architect, Strategic Accounts

Are you passionate about pioneering the future of autonomous AI systems and eager to solve realworld problems with cuttingedge 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 multiagent 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 multiagent 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 proofofconcepts that demonstrate how agentic systems can transform business processes through goaldirected 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 realtime 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.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
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Mentorship & Career Growth
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Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.



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 multiagent 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 proofofconcepts that demonstrate how agentic systems can transform business processes
Collaborate with crossfunctional 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 selfexamination planning and multiagent collaboration
Develop proofofconcepts that demonstrate how agentic systems can transform business processes through goaldirected 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 Bedrocks 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


About the team
The Strategic Accounts and EMEA Tech teams mission is to create a future where our customer can build anything they can imagine with fewer bad days. Your peers teams include other areas of deep technical specialty including data and analytics AIML network security and open source software.

10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
Bachelors degree in computer science engineering mathematics or equivalent
Experience developing technology solutions and evangelising endtoend technology roadmaps that guide IT transformations toward cloud computing
Experience communicating across technical and nontechnical audiences and at Clevel 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164500/year in our lowest geographic market up to $284300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.