Senior IAM Architect with AIML exp
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Posted:
10 June 2026 (30+ days ago)
Application Deadline:
7 September 2026
Vacancies:
1 Vacancy
Job Summary
Senior IAM Architect with AI/ML exp
NYC NY / Alpharetta GA (Onsite)
Contract
Overview:
Senior architect role focused on identity access management AI integration and enterprise-scale platforms.
Core Responsibilities:
Architecture & Design
- 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 authentication 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
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Governance & Security
- Implement AI control frameworks including:
- Model controls and guardrails
- Auditability aligned to NIST and risk frameworks
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- Apply AI security standards including:
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
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- Ensure governance compliance and privacy are embedded in architecture.
Required Qualifications:
Technical & Domain Expertise
- Experience implementing:
- Enterprise IAM systems (Azure AD/Entra Okta)
- Identity lifecycle management and privileged access management
- OAuth SAML LDAP Kerberos and API security
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- Strong knowledge of:
- AI/ML and platform engineering
- Microservices and distributed architectures
- Cloud-native patterns
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Engineering Skills:
- Front-end: SPA frameworks (React/Angular) and JavaScript/TypeScript ecosystem.
- Back-end: Java/.NET microservices and traditional 3-tier architecture.
- Scripting: Linux Shell and PowerShell.
- Strong documentation and communication skills for both technical and business audiences.
Cloud & Platform Knowledge
- Strong understanding of:
- IaaS/PaaS concepts
- IoT and cloud integration (including Azure services)
- Containerization and modern infrastructure
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