Amazon Web Services (AWS) · 9 hours ago
Sr Software Dev Engineer, AI Agent Identity & Governance, AWS Applied AI Solution – Core Services
Amazon Web Services (AWS) is a leading cloud platform that is pioneering AI initiatives. The role involves leading the development of foundational AI components for AWS business applications, ensuring enterprise-grade quality while fostering a culture of technical excellence and collaboration.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
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
Preferred
10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience in deploying identity and access management systems, or experience in managing and troubleshooting network and experience with web-based applications and HTTP
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
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2026-01-16
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