Job description

Do you want to lead a team defining how enterprises build, govern, and operationalize AI at scale? Are you energized by the full spectrum, from the data foundations that fuel AI systems to the training infrastructure, inference optimization, and agentic architectures that put AI into production? Amazon Web Services (AWS) is looking for a senior technical leader to build and lead a team of specialist Solutions Architects focused on Data & AI within our Strategic Accounts organization. Your team will help customers across the full AI stack: modernizing data architectures and governance for AI readiness, optimizing training and inference infrastructure on accelerators, building semantic layers and context graphs that give AI systems business understanding, and designing agentic systems that operate reliably on governed enterprise data. Depending on organizational needs and your strengths, you may focus your team on data foundations, AI/ML infrastructure, or a combination spanning both. 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 CDOs, and develop the prescriptive points of view that position AWS as the AI strategy partner for our largest customers. You will shape solutions in spaces that are still taking form 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 data architecture, AI/ML infrastructure, and open source domains Engage directly with customer CAIOs, CTOs, CDOs, and VPs of Engineering as a strategic advisor on AI readiness, data modernization, inference optimization, and emerging patterns such as semantic layers, context graphs, and agentic architectures Architect solutions alongside your team for complex, multi-service customer environments spanning data governance, accelerator optimization, training and inference infrastructure, and AI application design Hire, onboard, and develop senior technical talent; 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 across both data and AI domains Develop prescriptive architectures, reference implementations, and competitive positioning that helps the broader field SA community lead AI and data conversations with their customers Represent the team externally through conference presentations, published architectures, and technical keynotes that establish AWS credibility across both the data platform and AI infrastructure space Partner with AWS service teams (analytics, databases, AI/ML, compute, open source) to shape product roadmaps based on customer signals and emerging trends Collaborate with peer SA leaders, Professional Services, and specialist organizations to deliver unified solutions across the full AI stack Drive open source engagement and contribution across data and AI ecosystems where it accelerates customer outcomes and builds community trust A day in the life You might start the morning reviewing an inference optimization architecture where a customer is deploying foundation models on Trainium clusters, then join a call with the CAIO of a top-25 enterprise to discuss their strategy for grounding agentic systems in governed enterprise data. After lunch, you coach a team member preparing a customer workshop on migrating from a legacy data warehouse to an AI-ready lakehouse on open formats. Later, you finalize a conference talk on how context graphs and semantic layers are changing the way enterprises feed data to AI agents. You close the day aligning with your peer leaders on a shared customer pursuing end-to-end AI readiness, from data foundations through production agents. 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. - 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 - 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 amazon.jobs 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 amazon.jobs . USA, CA, San Diego - 201,000.00 - 272,000.00 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

Requirements

Must-haves

Key job responsibilities
Set technical vision and strategic direction for a team of specialist Solutions Architects spanning data architecture, AI/ML infrastructure, and open source domains
Architect solutions alongside your team for complex, multi-service customer environments spanning data governance, accelerator optimization, training and inference infrastructure, and AI application design
Hire, onboard, and develop senior technical talent; 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 across both data and AI domains
Develop prescriptive architectures, reference implementations, and competitive positioning that helps the broader field SA community lead AI and data conversations with their customers
Represent the team externally through conference presentations, published architectures, and technical keynotes that establish AWS credibility across both the data platform and AI infrastructure space
Partner with AWS service teams (analytics, databases, AI/ML, compute, open source) to shape product roadmaps based on customer signals and emerging trends
Collaborate with peer SA leaders, Professional Services, and specialist organizations to deliver unified solutions across the full AI stack
Drive open source engagement and contribution across data and AI ecosystems where it accelerates customer outcomes and builds community trust
A day in the life
About the team
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
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)

Nice-to-haves

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Keywords to mirror

aiawsmlazuregcpsql

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave