or apply directly on LTS's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 53 days LTS's roles stay open a median of 53 days
- Reposted
- No
- Salary listed
- No 10% of LTS's roles list one
- Ghost-job risk at LTS
- high 21 stale, 0 reposted of 29 open
- Hiring momentum
- 36 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-25
Measured from postings appearing on and disappearing from LTS's own greenhouse board since 2026-08-03. Full hiring picture for LTS.
About this role
The Senior AI Identity Platform Engineer will design and build identity services that enable secure interactions among AI agents, enterprise applications, and users. Responsibilities include establishing authentication and authorization frameworks, integrating identity providers, and ensuring compliance with security standards. The role emphasizes building reusable identity capabilities and collaborating with various teams to enhance the AI platform's security and functionality.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LTS as an employer.
What you need
- 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
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
What you get
- 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
Worth weighing
- No specific information on the company culture or team dynamics is provided
- The role involves working with legacy systems, which may impact the technology stack
- The salary range is provided, but final compensation may vary based on experience, skills, location, and role requirements
Summarised from LTS's posting. Read the full original.
Listed by LTS on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.
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