Architect IAM for AI / Platform (PAM-Focused)

Location: NYC, NY • Duration: 11 months • Work Type: Onsite • Job Type: Temporary Assignment

About the Role

Hands-on engineering leadership role focused on AI platforms, LLM systems, and orchestration with strong IAM and Privileged Access Management (PAM) alignment.

Responsibilities

• AI / LLM Platform Engineering
  • Lead hands-on development of AI-enabled and LLM-based applications
  • Build agentic and multi-agent systems
  • Design and implement orchestration architectures including:
    • Function invocation
    • State and memory management
    • Policy-aware execution
• AI Engineering & Integration
  • Develop intelligent agent workflows using:
    • Prompt design
    • Grounding strategies
    • Tool orchestration layers
• Platform Ownership
  • Own full-stack AI system architecture:
    • APIs
    • Data pipelines
    • Model serving and observability
  • Ensure performance, scalability, and reliability across environments
• Security & Governance
  • Embed secure-by-design principles, including:
    • Access controls
    • Logging and traceability
    • Explainability
    • Human-in-the-loop safeguards
  • Drive reviews, mentoring, and best practices for AI engineering

Requirements

• Hands-on platform engineering experience end-to-end
• Deep expertise in:
  • LLMs and model lifecycle
  • Prompt engineering and grounding
  • Hallucination mitigation
• Strong system design experience including:
  • Multi-agent architectures
  • Distributed systems
  • Cloud-native development
• Proficiency with:
  • C programming language
  • Unix/Linux systems
  • Cryptography
  • Authentication & authorization concepts
• Experience working in:
  • Secured enterprise environments
  • Agile development teams
• Engineering Skills:
  • Python and Perl development
  • Ability to communicate technical concepts to business stakeholders
  • Strong collaboration and independent execution capabilities
  • Contributions to Linux/Unix/open-source projects are valued
  • Knowledge of Kerberos (preferred)

Key Technologies / Areas

• LLM frameworks and orchestration
• Cloud platforms and APIs
• Distributed systems design
• AI governance frameworks