Sr. Manager, GenAI Solutions Architecture, Strategic Accounts

About the role

Do you want to lead a team that defines how the world's largest enterprises build, scale, and run generative AI in production? Are you energized by the full GenAI lifecycle, from model selection and customization to inference optimization on accelerators, agentic architectures, and the evaluation and governance that make AI trustworthy at scale?

Amazon Web Services (AWS) is looking for a senior technical leader to build and lead a team of specialist Solutions Architects focused on Generative AI within our Strategic Accounts organization. Your team will help customers across the GenAI stack: choosing and customizing foundation models, optimizing training and inference on AWS Trainium, Inferentia, and GPU infrastructure, building agentic systems with Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker AI, and putting in place the evaluation, guardrails, and responsible AI practices that move GenAI from pilot to production.

This is a strategic leadership role. You will set technical direction for your team, architect alongside them on the most complex engagements, coach them through conversations with CAIOs, CTOs, and VPs of Engineering, and develop the prescriptive points of view that position AWS as the GenAI strategy partner for our largest customers. You will shape solutions in a space that is changing every quarter and bring customer signals back to AWS service teams to influence roadmaps.

Key job responsibilities

• Set technical vision and strategic direction for a team of specialist Solutions Architects spanning foundation models, AI infrastructure, and agentic AI
• Engage directly with customer CAIOs, CTOs, and VPs of Engineering as a strategic advisor on GenAI strategy, model selection, inference economics, and production patterns for agents
• Architect solutions alongside your team for complex customer environments spanning model customization, distributed training, inference optimization, retrieval augmented generation, and multi-agent systems
• Guide customers on evaluation, observability, security, and responsible AI so GenAI workloads can scale with confidence
• Hire, onboard, and develop senior technical talent, and build a diverse and inclusive team culture that attracts and retains top performers
• Coach team members on architectural thinking, strategic customer engagement, and executive communication in the GenAI domain
• Develop prescriptive architectures, reference implementations, and competitive positioning that help the broader field SA community lead GenAI conversations with their customers
• Represent the team externally through conference presentations, published architectures, and technical keynotes that establish AWS credibility in generative AI and AI infrastructure
• Partner with AWS service teams (Amazon Bedrock, Amazon SageMaker AI, Annapurna Labs, compute) to shape product roadmaps based on customer signals and emerging trends
• Collaborate with peer SA leaders, Professional Services, the Generative AI Innovation Center, and partners to deliver unified GenAI solutions from proof of concept to production
• Drive engagement and contribution across open source GenAI ecosystems, including model serving, agent frameworks, and protocols such as MCP, where it accelerates customer outcomes and builds community trust

A day in the life

You might start the morning reviewing an inference architecture for a customer serving foundation models on Trainium clusters, looking for ways to bring down latency and cost per token. Then you join a call with the CAIO of a top-25 enterprise to talk through how they'll move a set of agent pilots into production with the right evaluation and guardrails in place.

• After lunch, you coach a team member who is getting ready for a customer workshop on fine-tuning and distilling models in Amazon Bedrock.
• Later, you finish a conference talk on design patterns for multi-agent systems that run reliably at enterprise scale.
• You end the day with your peer leaders, aligning on a shared customer whose GenAI program now covers several lines of business.

Basic Qualifications

• 7+ years of management of technical, enterprise customer facing resources or equivalent experience
• 10+ years of infrastructure architecture, database architecture and networking experience
• Bachelor's degree
• Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
• Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
• Experience hiring, developing, and managing high-performing technical teams

Preferred Qualifications

• Experience in people management and CXO level engagement
• Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
• Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
• Experience writing technical articles, speaking at technology conferences, and contributing to open source
• Familiarity with AI/ML training and inference infrastructure (accelerator optimization, distributed training, model serving)

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

• USA, CA, San Diego - 201,000.00 - 272,000.00 USD annually
• USA, CA, Santa Clara - 231,200.00 - 312,800.00 USD annually
• USA, NY, New York - 221,100.00 - 299,200.00 USD annually
• USA, VA, Arlington - 201,000.00 - 272,000.00 USD annually
• USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually