About this role
Description
Running AI agents in the cloud is an exciting, quickly-evolving area, and successfully deploying them at scale can be difficult. An agent runs for minutes or hours, calls tools, writes and runs code, and keeps state across many turns. It has to do all of that inside a customer's security boundary, with the same trust, reliability, isolation, and auditability that customers expect from any other AWS service. Our team builds the managed services that makes this possible. Customers define their agent definitions, and we run them as a fully managed AWS service: provisioning, sandboxed execution, session state, identity, observability, and scaling.
The service covers the whole agent lifecycle. It creates and configures agents, runs long-lived sessions with durable state, executes tools and code in isolated environments, connects to customer data and systems with appropriate identity, and gives customers the logs, metrics, and controls they need to run agents in production. We work closely with leading model providers to bring their agent experiences to AWS customers. That means our engineers solve problems at the boundary between AWS customers, frontier labs, and AWS cloud infrastructure.
As Sr. SDM for Managed Agents, you will lead a team of senior engineers building one of the newest and fastest-growing areas of AWS. You will own the technical strategy and roadmap for the service, partner with model providers and AWS service teams, and be responsible for all aspects of its end-to-end engineering, operations, and growth. This is an early-stage service. You will set the engineering bar, hire and grow the team, and make architectural decisions that influence how enterprises run AI agents for years to come.
Basic Qualifications
- 5+ years of engineering team management experience
- Bachelor's degree in Computer Science (or related field) or equivalent work experience
- 10+ years' experience in the development of mission-critical system software, with experience working on distributed systems, machine learning infrastructure, or large-scale data platforms
Preferred Qualifications
- Experience building or operating services that run untrusted or customer-supplied code, such as serverless compute, container platforms, or sandboxed execution environments
- Experience developing and deploying cloud-based AI/ML technology, particularly LLM inference, agent frameworks, or tool-use and orchestration systems
- Deep knowledge of identity and access control in multi-tenant systems, including credential delegation and least-privilege design
- Experience leading technical partnerships with external companies, especially co-developing a product with a partner
- 5+ years' experience partnering with product, sales, and customer success teams to launch and grow a new service
- Advanced degree: Masters or PhD in Computer Science or Engineering, or an MBA or similar business qualification
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, Santa Clara - 253,100.00 - 342,300.00 USD annually