Sr. Manager, AI Engineering, AI Engineering

Amazon Web Services (AWS); Seattle (WA); On-site; USD 220,000 - 298,000; Full time

Job summary

Amazon Web Services, Inc. in Seattle seeks a Sr Manager, AI Engineering to lead a world-class team of customer-facing AI Engineers and Architects who help enterprises architect and deploy AI systems to production.

You will hire, mentor, and sponsor strategic customers, translating AI strategy into architectural decisions with CAIOs and CTOs at Fortune 500 firms. Beyond direct customer engagement, you will drive Thought Leadership, partner with Bedrock and related services, and build scalable

Qualifications

• 10+ years of engineering experience.
• 5+ years of engineering team management experience.
• 10+ years of consumer software experience.
• Experience partnering with product or program management teams.
• Experience managing multiple concurrent programs in an Agile environment.

Responsibilities

• Hire, develop, and retain a world-class team of Applied AI Architects, fostering a culture of technical excellence, customer obsession, and continuous learning.
• Set the technical vision and strategic direction for the Applied AI Architecture practice worldwide, ensuring the team's guidance and best practices evolve with the rapidly changing generative AI landscape.
• Serve as a technically credible executive sponsor to strategic customers, engaging directly with C-level technology leaders on AI strategy, production architecture, and business outcome realization.
• Build and maintain trusted relationships with AWS service and product teams, establishing feedback loops that translate field insights into product improvements and roadmap influence.
• Drive Thought Leadership through publications, frameworks, and speaking engagements that position AWS as the leader in production generative AI and agentic systems.
• Create scalable programs, tools, and enablement assets that help the broader AWS field execute generative AI engagements with customers at scale.
• Navigate ambiguity in a fast-moving technical domain, making directional decisions with incomplete information while building mechanisms to course-correct.
• Represent the voice of the customer internally, synthesizing patterns across engagements to inform organizational strategy and investment priorities.

Skills

Engineering experience

Team management

Consumer software

Agile delivery

Executive engagement

Job description

Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

The Amazon Web Services (AWS) AI Engineering Team, within the Cloud and AI Innovation Team (CAIT), partners with customers to design and build better products faster using AI and reimagining software development lifecycle. AI Engineers collaborate with AWS Sales and other AWS teams to help address customer business challenges and accelerate the adoption of AWS services.

The Role

We are seeking a Sr Manager, AI Engineering to lead a team of AI Engineers. In this role, you will hire, develop, and inspire a high-performing team of customer-facing developers and architects who help enterprises architect and deploy different systems to production using AI. You will serve as a technically credible executive sponsor to strategic customers, holding AI strategy conversations grounded in real architectural understanding with CAIOs, CTOs, and VPs of Engineering at Fortune 500 companies.

Beyond direct customer engagement, you will drive Thought Leadership in the generative AI and agentic systems space, publishing guidance, frameworks, and best practices that shape how the broader AWS field engages with customers on AI. You will also lead Advancing the Organization initiatives, partnering with AWS engineering and product teams — including Bedrock, Kiro, Quick — to translate customer signals and field feedback into actionable product improvements. You will create and run programs that enable the field to execute at scale, turning lessons learned from individual customer engagements into repeatable patterns and scalable assets.

This role requires a leader who can operate fluidly between deeply technical implementation conversations and executive-level AI strategy discussions. You must earn the trust of Principal and Senior AI Engineers through demonstrated architectural fluency and sound technical judgment, while simultaneously building credibility with service teams, organizational leadership, and customer executives. The ideal candidate brings a rare combination of technical depth, people leadership, and organizational influence — someone who knows which problems matter, which patterns will scale, and how to build a team that delivers outsized impact.

Travel is expected to be 20-30%.

Key job responsibilities

• Hire, develop, and retain a world-class team of Applied AI Architects, fostering a culture of technical excellence, customer obsession, and continuous learning.
• Set the technical vision and strategic direction for the Applied AI Architecture practice worldwide, ensuring the team's guidance and best practices evolve with the rapidly changing generative AI landscape.
• Serve as a technically credible executive sponsor to strategic customers, engaging directly with C-level technology leaders on AI strategy, production architecture, and business outcome realization.
• Build and maintain trusted relationships with AWS service and product teams, establishing feedback loops that translate field insights into product improvements and roadmap influence.
• Drive Thought Leadership through publications, frameworks, and speaking engagements that position AWS as the leader in production generative AI and agentic systems.
• Create scalable programs, tools, and enablement assets that help the broader AWS field execute generative AI engagements with customers at scale.
• Navigate ambiguity in a fast-moving technical domain, making directional decisions with incomplete information while building mechanisms to course-correct.
• Represent the voice of the customer internally, synthesizing patterns across engagements to inform organizational strategy and investment priorities.

About The Team

AI Engineering is a global team within the Solutions Architect organization focused on helping customers build and use AI agents. We operate at the frontier of AI, bridging foundation models and production systems through direct customer engagements, open-source accelerators, and close collaboration with AWS service teams. We split time between hands‑on customer work and creating assets that scale. The role combines engineering, advisory work, and product influence. We maintain high standards while operating with speed, and we stay grounded in customer outcomes. Built for tinkerers who ship production code and thrive in ambiguity.

Diverse Experiences

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

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life 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, there’s nothing we can’t achieve.

Basic Qualifications

• 10+ years of engineering experience
• 5+ years of engineering team management experience
• 10+ years of planning, designing, developing and delivering consumer software experience
• Experience partnering with product or program management teams
• Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Preferred Qualifications

• Experience partnering with product and program management teams
• Experience designing and developing large scale, high-traffic applications

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.

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 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 Francisco - 253,100.00 - 342,300.00 USD annually

USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually

Company

Amazon Web Services, Inc.

Job ID: A10556316