Senior AI Identity Platform Engineer
Accountabilities: The Senior AI Identity Platform Engineer will design, develop, and operate identity solutions that enable secure AI agents, enterprise applications, and cloud services. This role will play a central part in establishing secure-by-design AI infrastructure, supporting compliance requirements, and improving developer capabilities through reusable identity services.
Design and implement identity architectures supporting autonomous AI agents, multi-agent systems, enterprise applications, and external integrations.
Establish secure identity lifecycles for AI agents, including provisioning, credential management, rotation, and decommissioning processes.
Build modern authentication and authorization frameworks using technologies such as OAuth 2.0, OpenID Connect (OIDC), JWT, service principals, mTLS, and delegated authorization models.
Develop fine-grained access-control solutions based on Zero Trust principles, RBAC, ABAC, and policy-driven authorization.
Integrate AI platforms with enterprise identity providers, including Microsoft Entra ID, Okta, Active Directory, and other IAM platforms.
Enable secure identity federation across cloud and on-premises environments while supporting distributed AI architectures.
Design secure frameworks governing AI agent access to APIs, databases, enterprise tools, and sensitive resources.
Develop reusable identity services, APIs, SDKs, and libraries that improve secure AI application development.
Automate identity provisioning, authorization policies, and credential lifecycle management processes.
Implement identity-aware logging, traceability, auditing, and governance capabilities for AI-driven workflows.
Partner with security, AI engineering, and platform teams to establish secure development practices and compliance-ready solutions.
Contribute to improving engineering standards, technical documentation, and platform capabilities in a fast-moving AI environment.
Requirements:
The ideal candidate brings deep expertise in identity and access management, cloud security, and modern software engineering, combined with the ability to design secure systems that enable innovation. This role requires strong technical judgment, problem-solving skills, and collaboration across engineering and security teams.
Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline, or equivalent professional experience.
7+ years of experience in software engineering, platform engineering, identity engineering, or cloud security roles.
Proven experience designing authentication and authorization architectures for enterprise applications.
Strong knowledge of modern identity protocols, including OAuth 2.0, OpenID Connect (OIDC), JWT, SAML, and PKI.
Hands-on experience integrating enterprise IAM solutions such as Microsoft Entra ID, Okta, Active Directory, or similar platforms.
Experience building secure REST APIs, microservices, and distributed systems.
Strong understanding of Zero Trust Architecture, RBAC, ABAC, delegated authorization, and identity federation.
Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
Strong programming skills in Python and experience with languages such as Go, Java, or TypeScript.
Expertise in identity and access management, cloud-native architectures, and secure authentication frameworks.
Excellent analytical, communication, and technical problem-solving abilities.
Ability to collaborate effectively across software engineering, cybersecurity, and AI teams.
Ability to obtain and maintain a Public Trust clearance.
Preferred qualifications include:
Experience developing AI platforms, Agentic AI systems, or LLM-based applications.
Knowledge of securing Retrieval-Augmented Generation (RAG) systems and AI tool integrations.
Familiarity with Model Context Protocol (MCP) and secure AI tool invocation.
Experience with secrets management platforms such as HashiCorp Vault, Azure Key Vault, or AWS Secrets Manager.
Experience implementing identity services in Kubernetes and cloud-native environments.
Familiarity with AI governance, Responsible AI, or AI platform security practices.
Experience with AI orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or AutoGen.
Experience supporting federal government or healthcare technology environments.
Identity, cybersecurity, or cloud certifications such as CISSP, Security+, CCSP, or Microsoft identity certifications.
Benefits:
Opportunity to support high-visibility technology initiatives in regulated environments.
Fully remote work opportunity within the United States.
Competitive compensation based on experience, skills, location, and role requirements.
Comprehensive benefits package designed to support employees and their families.
Access to cutting-edge AI, cloud, cybersecurity, and identity technologies.
Collaborative culture focused on innovation, learning, and professional growth.
Career development opportunities with a focus on technical excellence and leadership.
Opportunity to directly influence the design and evolution of an AI-native engineering platform.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
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