Architect – IAM / AI / Enterprise Platforms

American IT Systems • New York City, NY

5d • Hybrid

About The Position

Senior architect role focused on identity, access management, AI integration, and enterprise-scale platforms. This role involves defining reference architectures, designing secure access models, integrating modern authentication protocols, and building AI-enabled solutions using enterprise platforms. It also includes improving AI/ML processes, implementing AI control frameworks, and ensuring governance, compliance, and privacy are embedded in the architecture.

Requirements

• Experience implementing Enterprise IAM systems (Azure AD/Entra, Okta).
• Experience implementing Identity lifecycle management and privileged access management.
• Experience implementing OAuth, SAML, LDAP, Kerberos, and API security.
• Strong knowledge of AI/ML and platform engineering.
• Strong knowledge of Microservices and distributed architectures.
• Strong knowledge of Cloud-native patterns.
• Front-end: SPA frameworks (React/Angular) and JavaScript/TypeScript ecosystem.
• Back-end: Java/.NET, microservices, traditional 3-tier architecture.
• Scripting: Linux shell and PowerShell.
• Documentation and communication skills (technical + business audiences).
• Strong understanding of IaaS/PaaS concepts.
• Strong understanding of IoT/cloud integration (incl. Azure services).
• Strong understanding of Containerization and modern infrastructure.

Nice To Haves

• Financial Services domain experience.
• Experience developing enterprise standards / reference architectures.
• Exposure to multi-region enterprise solutions.

Responsibilities

• Define reference architectures and reusable patterns for AI agent identities, authentication, authorization, credential/token handling, and auditability across enterprise applications.
• Design secure access models for workflows, customers, and workloads.
• Partner with application teams to integrate modern auth protocols (OIDC/SAML) and service-to-service communication patterns.
• Build AI-enabled solutions using enterprise platforms, connectors, APIs, and orchestration capabilities.
• Define modular, scalable architecture covering APIs, middleware, policy enforcement, and lifecycle management.
• Improve AI/ML processes including: Access request flows, Policy validation, Intelligent analytics, Documentation automation.
• Implement AI control frameworks including: Model controls and guardrails, Auditability and signed-to-NIST / risk frameworks.
• Apply AI security standards including OWASP Top 10 for LLM applications and MITRE ATLAS.
• Ensure governance, compliance, and privacy are embedded in architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed