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 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
Governance & Security
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
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
Strong knowledge of:
AI/ML and platform engineering
Microservices and distributed architectures
Cloud-native patterns
Engineering Skills
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)
Cloud & Platform Knowledge
Strong understanding of:
IaaS/PaaS concepts
IoT/cloud integration (incl. Azure services)
Containerization and modern infrastructure
Preferred Qualifications
Financial Services domain experience
Experience developing enterprise standards / reference architectures
Exposure to multi-region enterprise solutions
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