LTS - Senior AI Identity Platform Engineer
Requirements
• Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline (or equivalent professional experience). • 7+ years of software engineering, platform engineering, identity engineering, or cloud security experience. • Experience designing authentication and authorization architectures for enterprise applications. • Strong knowledge of OAuth 2.0, OpenID Connect (OIDC), JWT, SAML, PKI, and modern identity protocols. • Experience integrating enterprise identity providers such as Microsoft Entra ID, Okta, Active Directory, or similar IAM platforms. • Experience building secure REST APIs, microservices, and distributed systems. • Knowledge of Zero Trust Architecture, RBAC, ABAC, delegated authorization, and identity federation. • Experience with cloud platforms (Azure, AWS, or Google Cloud). • Strong programming skills in Python plus experience with Go, Java, or TypeScript. • Excellent communication, analytical, and problem-solving skills. • Experience designing secure systems that enable innovation rather than restrict it. • Expertise in identity and access management. • Hands-on experience with cloud-native architecture and modern authentication frameworks. • Strong ability to stay current with emerging AI technologies and evolving identity standards. • Ability to collaborate effectively across software engineering, security, and AI disciplines. • Willing and able to take ownership of difficult technical challenges and build elegant, innovative solutions. • Experience developing AI platforms, Agentic AI systems, or Large Language Model (LLM) applications. • Experience securing Retrieval-Augmented Generation (RAG) systems and AI tool integrations. • Familiarity with Model Context Protocol (MCP) and secure AI tool invocation. • Experience with HashiCorp Vault, Azure Key Vault, AWS Secrets Manager, or similar secrets management platforms. • Experience implementing identity services in Kubernetes and cloud-native environments. • Experience with AI governance, Responsible AI, or AI platform security. • Familiarity with LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar AI orchestration frameworks. • Experience supporting Federal Government or healthcare environments. • Identity or cloud certifications such as Microsoft Identity and Access Administrator, CISSP, Security+, CCSP, or cloud security certifications are a plus.
Responsibilities
• Design AI Identity Architecture • Design identity services supporting autonomous and multi-agent AI systems. • Establish secure identities for AI agents, enterprise services, users, and external integrations. • Define identity lifecycles for AI agents, including provisioning, credential management, rotation, and decommissioning. • Build reusable identity capabilities that scale across the AI platform. • Authentication & Authorization • Design and implement modern authentication and authorization frameworks for AI agents and platform services. • Implement OAuth 2.0, OpenID Connect (OIDC), JWT, service principals, mutual TLS (mTLS), and delegated authorization models. • Build fine-grained authorization models controlling AI access to enterprise data, APIs, tools, and services. • Enterprise Identity Integration • Integrate AI platforms with enterprise identity providers such as Microsoft Entra ID, Okta, Active Directory, and other IAM solutions. • Enable secure identity federation across cloud and on-premises environments. • Design secure service-to-service authentication supporting distributed AI architectures. • Collaborate with enterprise security teams to align AI identity with organizational security standards. • Secure Agent & Tool Access • Design secure frameworks governing how AI agents discover, authenticate to, and invoke enterprise APIs, databases, and external tools. • Build authorization models controlling agent capabilities and delegated permissions. • Protect sensitive enterprise resources through policy-driven access controls. • Implement secure credential handling and secrets management across AI workflows. • Platform Engineering • Develop reusable identity services, SDKs, APIs, and libraries supporting secure AI application development. • Automate identity provisioning, credential lifecycle management, and authorization policies. • Improve developer productivity through standardized identity services and secure engineering patterns. • Partner with platform engineers to integrate identity services into the AI platform architecture. • Governance & Auditability • Ensure every AI action is authenticated, authorized, attributable, and auditable. • Implement identity-aware logging, traceability, and policy enforcement. • Support compliance and governance requirements for highly regulated environments. • Partner closely with AI Security Engineers to establish secure-by-design AI development practices.
Benefits
• The Opportunity to support high-visibility federal missions • A culture that values innovation, growth, and collaboration • Access to cutting-edge tools and technologies • Comprehensive benefits for you and your family • A career path that rewards ambition and performance • If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT