Sr. Manager, GenAI Solutions Architecture, Strategic Accounts

Amazon is hiring a Sr. Manager, GenAI Solutions Architecture, Strategic Accounts in Seattle, United States. It pays $201k-$272k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this solutions architect role Builds AI ●●●●: the job is building AI systems.
Pay on this posting starts 19% higher than the typical solutions architect posting on Level.
The posting mentions Bedrock, SageMaker and RAG among its tools and skills.
Amazon has 20,000+ other open roles on Level.

AI in this role

BedrockSageMaker

ragfine-tuningai-safety

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.

About the team
This role sits within the AWS Strategic Accounts Specialist Solutions Architecture organization. The Data & AI organization works across the full modern AI stack: from lakehouse and streaming architectures, through training and inference infrastructure on accelerators, to the semantic and context layers that make production AI reliable and agentic systems trustworthy. You will own a team charter within this organization, with room to shape its direction as customer needs and the technology landscape evolve.

AWS values diverse experiences. Even if you do not meet all of the qualifications listed in this description, we encourage candidates to apply. If your career is just starting, has not followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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)

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 Company’s reputation. Pursuant to the Los Angeles County 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Learn more about our benefits at https://amazon.jobs/en/benefits.

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

How we rate this

Sr. Manager, GenAI Solutions Architecture, Strategic Accounts at Amazon rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Manager, GenAI Solutions Architecture, Strategic Accounts is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $201k-$272k a year.
The role is based in US, WA, Seattle.
The job was posted on October 6, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuningAI SafetyBedrockSageMaker

Also common in solutions architect jobs at this level

LLM Python PyTorch Deep learning Kubernetes Machine learning

Pay

This job starts at: $201k
Typical solutions architect job: $169k

This posting starts 19% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you think about the risk of an AI system in this kind of role failing silently?
What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, AI Safety, Bedrock, and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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