Architect IAM for AI / Platform (PAM-Focused)
New York, New York, United States of America
Contract
2 weeks ago
$55 - $57 USD
Key skills
PythonCPerlAILLMAgenticIAMAgileLeadershipMentoringCollaboration
About this role
Hiring Architect IAM for AI / Platform (PAM-Focused)
Location New York City, NY
Onsite(3 Days)
Duration: 6 months
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