Sr Software Dev Engineer, AI Agent Identity & Governance, AWS Applied AI Solution – Core Services

Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications.

The Core Services team within AWS Applied AI Solutions is creating the foundations that will power the next generation of AI agents from small business to enterprise scale. As a technical leader youll lead our new agentic AI building blocks initiative pioneering the development of reusable AI components that accelerate and standardize AI product delivery across AWS business applications such as contact center supply chain healthcare and life sciences. Youll own one critical capability area such as agent identity and governance agent collaboration & orchestration agent evaluation or knowledge management and have the privilege to define what we build and how we build it.

This role combines the excitement of a startup environment with the scale of AWS. Youll research state-of-the-art open source and internal tools tackle highly ambiguous problems and lead a team building a V1 product from the ground up. You wont just be implementing someone elses vision youll chart the course define the roadmap and create solutions that eliminate non-differentiating work while ensuring enterprise-grade quality and consistency. If you thrive on ownership are passionate about AI and want to fundamentally influence how AWS builds AI products this role offers an extraordinary opportunity to make your mark.


Key job responsibilities
- Own the technical architecture and strategy for a critical AI agent capability area setting the foundation for enterprise-scale AI solutions across AWS
- Lead projects requiring multiple engineers balancing business goals with technical excellence while navigating ambiguous problem spaces
- Research evaluate and integrate state-of-the-art AI technologies making informed decisions about build vs. leverage approaches
- Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
- Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
- Champion engineering best practices establishing a culture of robust software development with exemplary code organization clarity and maintainability
- Mentor and coach other engineers fostering technical growth while creating an environment where your team thrives independently
- Communicate complex technical designs to diverse audiences from engineers to non-technical stakeholders and senior leadership

A day in the life
Your morning starts with an engineering team standup followed by collaborative sessions with product managers in your team to provide requirement and internal customer inputs. Youll dedicate focused time to researching the latest AI agent techniques and designing reusable scalable building blocks for your capability area. Throughout the day youll work with engineers and scientists within your team to implement solutions leveraging coding agents to write and test code more efficiently. You might lead a technical design review with scientists engineers product managers solution architects from across Applied AI Solutions gathering diverse perspectives to strengthen your approach. Your day could include architecture prompt component API design work meeting with internal customers to understand their AI agent needs or presenting your vision to leadership stakeholders.

About the team
Applied AI Solutions Core Services is a comprehensive suite of core computing services and solutions provided by Amazon Web Services (AWS) to support the foundational infrastructure and operations needs of customers. It encompasses a wide range of essential services and capabilities across AWS. The Core Services team focuses on continuously improving the security availability and cost-effectiveness of these critical enterprise-wide services for AWS customers.

- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Experience designing and implementing AI/ML systems including working with LLMs prompt engineering retrieval augmented generation (RAG) fine-tuning or AI agent development
- Proven track record building distributed systems with well-designed APIs that operate reliably at enterprise scale
- Demonstrated ability to create reusable software components with clean interfaces that can be leveraged by multiple teams
- Strong working knowledge of AWS AI/ML services such as Amazon Bedrock SageMaker and related infrastructure
- Successful history of cross-organizational collaboration driving technical convergence while maintaining delivery velocity

- 10 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Advanced identity management experience including implementation of authentication systems for non-human entities OAuth 2.0 token exchange protocols and federated identity management frameworks
- Expertise in PII handling and data protection with knowledge of data masking techniques de-identification methodologies and regulatory compliance frameworks for managing sensitive information in AI systems
- Experience designing sophisticated authorization frameworks featuring fine-grained permission models that support delegation just-in-time approval workflows and clear attribution between human and AI agent actions

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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.