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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Identity Platform Engineer - **Company:** LTS, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $156,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Microsoft Access, Java (Programming Language), Active Directory, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, CompTIA Security+, Cyber Security, Information Systems, Computer Programming, Databases, Distributed Systems, Federated Identity Management, Identity and Access Management, Python (Programming Language), Key Management, OAuth, OpenID, Public Key Infrastructure, Role-Based Access Control, Openid Connect, Azure Active Directory, Zero Trust Network Access, JSON Web Token, Security Assertion Markup Language (SAML), Software Engineering, Trusted Systems, TypeScript, Enterprise Data Management, Data Logging, Google Cloud, Enterprise Software Applications, Okta, LangChain, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Information Technology, CrewAI, Hashicorp, AutoGen, Restful APIs, Model Context Protocol, Semantic Kernel, Automation Anywhere, Microservices - **Published:** October 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ps05r9slh8 ## About the Role * 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. Nice To Have * 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. ## Description * 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. * Apply least-privilege and Zero Trust principles throughout AI workflows. * 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.