This position is listed on behalf of a partner company who manages all applications and next steps. Our partner is looking for a Senior AI Identity Platform Engineer based in United States. This role offers the opportunity to build the identity and security foundation powering next-generation AI platforms and enterprise applications.The position focuses on enabling secure interactions between AI agents users cloud services and mission-critical systems through modern identity architectures.You will design scalable authentication authorization and credential-management solutions aligned with Zero Trust principles and federal security requirements.Working within a small highly collaborative engineering team you will have significant ownership and influence over platform architecture and technical direction.The ideal candidate is passionate about AI cybersecurity and cloud-native engineering with the ability to solve complex identity challenges.This is a high-impact opportunity to help modernize critical healthcare systems while shaping secure AI-driven software development practices. ➡ Accountabilities ➡ The Senior AI Identity Platform Engineer will design develop and operate identity solutions that enable secure AI agents enterprise applications and cloud services. This role will play a central part in establishing secure-by-design AI infrastructure supporting compliance requirements and improving developer capabilities through reusable identity services. Design and implement identity architectures supporting autonomous AI agents multi-agent systems enterprise applications and external integrations. Establish secure identity lifecycles for AI agents including provisioning credential management rotation and decommissioning processes. Build modern authentication and authorization frameworks using technologies such as OAuth 2.0 OpenID Connect (OIDC) JWT service principals mTLS and delegated authorization models. Develop fine-grained access-control solutions based on Zero Trust principles RBAC ABAC and policy-driven authorization. Integrate AI platforms with enterprise identity providers including Microsoft Entra ID Okta Active Directory and other IAM platforms. Enable secure identity federation across cloud and on-premises environments while supporting distributed AI architectures. Design secure frameworks governing AI agent access to APIs databases enterprise tools and sensitive resources. Develop reusable identity services APIs SDKs and libraries that improve secure AI application development. Automate identity provisioning authorization policies and credential lifecycle management processes. Implement identity-aware logging traceability auditing and governance capabilities for AI-driven workflows. Partner with security AI engineering and platform teams to establish secure development practices and compliance-ready solutions. Contribute to improving engineering standards technical documentation and platform capabilities in a fast-moving AI environment. Requirements The ideal candidate brings deep expertise in identity and access management cloud security and modern software engineering combined with the ability to design secure systems that enable innovation. This role requires strong technical judgment problem-solving skills and collaboration across engineering and security teams. Bachelor’s degree in Computer Science Software Engineering Cybersecurity Information Systems or a related technical discipline or equivalent professional experience. 7+ years of experience in software engineering platform engineering identity engineering or cloud security roles. Proven experience designing authentication and authorization architectures for enterprise applications. Strong knowledge of modern identity protocols including OAuth 2.0 OpenID Connect (OIDC) JWT SAML and PKI. Hands-on experience integrating enterprise IAM solutions such as Microsoft Entra ID Okta Active Directory or similar platforms. Experience building secure REST APIs microservices and distributed systems. Strong understanding of Zero Trust Architecture RBAC ABAC delegated authorization and identity federation. Experience working with cloud platforms such as Azure AWS or Google Cloud. Strong programming skills in Python and experience with languages such as Go Java or TypeScript. Expertise in identity and access management cloud-native architectures and secure authentication frameworks. Excellent analytical communication and technical problem-solving abilities. Ability to collaborate effectively across software engineering cybersecurity and AI teams. Ability to obtain and maintain a Public Trust clearance. Preferred qualifications include Experience developing AI platforms Agentic AI systems or LLM-based applications. Knowledge of securing Retrieval-Augmented Generation (RAG) systems and AI tool integrations. Familiarity with Model Context Protocol (MCP) and secure AI tool invocation. Experience with secrets management platforms such as HashiCorp Vault Azure Key Vault or AWS Secrets Manager. Experience implementing identity services in Kubernetes and cloud-native environments. Familiarity with AI governance Responsible AI or AI platform security practices. Experience with AI orchestration frameworks such as LangGraph LangChain CrewAI Semantic Kernel or AutoGen. Experience supporting federal government or healthcare technology environments. Identity cybersecurity or cloud certifications such as CISSP Security+ CCSP or Microsoft identity certifications. Benefits Opportunity to support high-visibility technology initiatives in regulated environments. Fully remote work opportunity within the United States. Competitive compensation based on experience skills location and role requirements. Comprehensive benefits package designed to support employees and their families. Access to cutting-edge AI cloud cybersecurity and identity technologies. Collaborative culture focused on innovation learning and professional growth. Career development opportunities with a focus on technical excellence and leadership. Opportunity to directly influence the design and evolution of an AI-native engineering platform. ➡ How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly objectively and fairly against the role's core requirements. Our system identifies the top-fitting candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice By submitting your application you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. 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