Enterprise Platforms Architect

TekWissen • New York City, NY

5d • Hybrid

About The Position

Senior architect role focused on identity, access management, AI integration, and enterprise-scale platforms. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.

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

• Career Level: Senior
• Education Level: No Education Listed