Security Architect| Enterprise AI Governance Platform

Security Architect| Enterprise AI Governance Platform Emerging Technologies & AI Dallas , Texas 10332 Jun 23, 2026 Job Description: AI Architect | Enterprise AI Governance Platform Engagement Type: Short‑term consulting engagement Initial Duration: 90 days, with potential extension Role: AI Architect / Integration & Security Engineer Focus Area: Enterprise AI governance, integration engineering, security architecture, and platform modernization Role Overview: We are seeking an experienced AI Architect to support a short‑term consulting engagement focused on advancing an internal enterprise AI governance platform from a working prototype to a proof‑of‑concept operating against real enterprise data. This role is primarily focused on integration, security engineering, enterprise identity, policy enforcement, auditability, and platform portability. The ideal candidate will have strong experience extending existing TypeScript/Node.js and React applications while integrating with enterprise systems in secure, governed environments. This is not a model training, machine learning, or data science role. The work centers on replacing prototype or stubbed components with live, governed enterprise integrations while maintaining a vendor‑neutral and portable architecture suitable for deployment on managed infrastructure. Key Responsibilities The AI Architect will be responsible for helping design and implement secure, scalable, and portable integrations across the enterprise AI governance platform. Responsibilities include: Extend and enhance an existing TypeScript, Node.js, and React codebase. Replace stubbed or prototype components with live integrations to enterprise systems. Integrate with enterprise identity and access management systems using standards such as OIDC, OAuth2, SAML, SCIM, and token exchange/on‑behalf‑of flows. Design and implement least‑privilege access patterns for data‑source and connector integrations. Support policy‑as‑code and policy enforcement capabilities using tools such as OPA/Rego or equivalent frameworks. Implement secure, immutable, and non‑repudiable audit logging capabilities. Integrate platform audit events with enterprise SIEM or security monitoring tools. Support LLM/model routing and gateway integration across multiple providers while avoiding single‑vendor lock‑in. Design and implement secure handling of secrets, encryption, and key custody. Support containerized, cloud‑neutral deployment patterns using Docker, Kubernetes, and Helm. Help ensure the architecture remains portable, provider‑agnostic, and suitable for deployment into managed infrastructure. Required Skills and Experience Strong development experience with TypeScript, Node.js, and React. Experience extending or modernizing an existing enterprise application codebase. Enterprise identity and access management experience, including: OIDC OAuth2 SAML SCIM Token exchange / on‑behalf‑of flows Data‑source and connector engineering experience. Strong understanding of least‑privilege access models. Policy‑as‑code or policy enforcement experience, preferably with OPA/Rego or similar tools. Audit logging and SIEM integration experience. Experience designing immutable, traceable, and non‑repudiable event handling. Experience integrating LLM/model gateways or model routing layers across multiple providers. Ability to design for provider abstraction and avoid single‑platform coupling. Strong security engineering background, including: Secrets management Encryption Key custody Secure service‑to‑service communication Containerization and deployment experience with: Docker Kubernetes Helm Strong architectural judgment and ability to balance prototype acceleration with enterprise‑grade security and governance requirements. Strongly Preferred Qualifications Experience working in regulated, government, or DoD‑adjacent environments. Familiarity with NIST 800‑53, RMF, or similar authorization and accreditation frameworks. Experience supporting security authorization, accreditation, or compliance documentation. API gateway and reverse‑proxy architecture experience. Network egress control and secure integration patterns. CI/CD pipeline development and deployment automation. Infrastructure‑as‑code experience, especially with Terraform. Experience building cloud‑neutral or hybrid‑cloud enterprise platforms. Ideal Candidate Profile The successful candidate is a hands‑on architect or senior engineer who can move comfortably between application development, integration architecture, security engineering, and enterprise deployment considerations. We are especially interested in candidates who: Design for portability, abstraction, and long‑term maintainability. Have experience integrating enterprise platforms with secure identity, logging, data access, and policy systems. Understand how to build governed AI infrastructure without becoming dependent on a single model provider or cloud platform. Can operate effectively in a short‑term consulting engagement with a focused scope and rapid execution expectations. Are comfortable working with sensitive enterprise data and security‑conscious stakeholders. Engagement Deliverables Live enterprise identity integration replacing prototype authentication flows. Secure data‑source connector implementation using least‑privilege access. Policy enforcement integration. Audit logging and SIEM event integration. LLM/model gateway or routing integration across multiple providers. Containerized deployment artifacts and configuration updates. Security and architecture recommendations supporting future managed infrastructure deployment. #J-18808-Ljbffr Buchanan Technologies