LTS
Senior AI Identity Platform Engineer
United States - Remote · Senior
Sponsorship not specifiedDetected 1 day ago
PythonJavaGoAWSGCPAzureCloud PlatformsKubernetesPlatform EngineeringRESTOAuthNLPLLMsRAGAgentic AILangGraphAI OrchestrationCybersecurityZero TrustCommunicationCollaborationProblem SolvingCISSP
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You'll establish authentication, authorization, credential management, and identity services that allow autonomous AI systems to operate safely across enterprise environments.
- The product has executive sponsorship, committed users, and a customer investing in long-term modernization.
- Our engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Responsibilities
- Design AI Identity Architecture
- Design identity services supporting autonomous and multi-agent AI systems.
- Build reusable identity capabilities that scale across the AI platform.
- 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.
- Design secure service-to-service authentication supporting distributed AI architectures.
- Collaborate with enterprise security teams to align AI identity with organizational security standards.
- 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.
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.
- Knowledge of Zero Trust Architecture, RBAC, ABAC, delegated authorization, and identity federation.
- Experience with cloud platforms (Azure, AWS, or Google Cloud).
- 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.
Nice to have
- 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.
- Identity or cloud certifications such as Microsoft Identity and Access Administrator, CISSP, Security+, CCSP, or cloud security certifications are a plus.
- What's In It for You?
Compensation
- ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.
Benefits
- LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.
Visa & Work Authorization
- The product has executive sponsorship, committed users, and a customer investing in long-term modernization.
This listing is sourced directly from LTS's careers page and normalized into a canonical job model.