Architect IAM for AI / Platform (PAM-Focused) @ NYC, NYC (3 days onsite minimum)

Job Title: Architect IAM for AI / Platform (PAM-Focused)

Location: NYC, NYC (3 days onsite minimum)

Duration: 11 months

Look for Local resouces as first priority, or someone who can relocate to NYC

Job Summary:

Overview

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

Key Skills & Background

Proficiency with:

• C programming language
• Unix/Linux systems
• Knowledge of:
• 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)

Core 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

Required Skills

• 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

Key Technologies / Areas

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