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Job opportunity
Senior AI Identity Platform Engineer
lts
United States - Remote
Source: lts careers · View original posting
- Pay
- $156,000 — $190,000 USD per year
Employer job description
From lts's posting. “We” and “our” refer to the employer.
Location:
United States – Remote
Clearance:
Ability to obtain and maintain a Public Trust
Compensation
Salary Range:
156K - 190K
LTS is seeking a Senior AI Identity Platform Engineer to design and build the identity foundation that enables AI agents, enterprise applications, cloud services, and users to interact securely and intelligently. You'll establish authentication, authorization, credential management, and identity services that allow autonomous AI systems to operate safely across enterprise environments.
The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today.
Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.
We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide.
The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.
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.
We don't simply build AI-powered software, we build software with AI. This is not another chatbot.
Using LLMs, AI agents, secure identity architectures, and AI-assisted development is simply how we engineer.
What You’ll Do:
- 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.
- 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.
What We’re Looking For:
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted: