Architect IAM for AI / Platform (PAM-Focused)

New York, NY, US • Posted 19 hours ago • Updated 19 hours ago
Contract W2
Contract Corp To Corp
6 Months
On-site
$55 - $57/hr
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • IAM
  • AI
  • PAM
  • C
  • Kerberos
  • LLM

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10511336
  • Position Id: 8978207
  • Posted 19 hours ago
Contact the job poster
Andrew Fugle

Andrew Fugle

Della Infotech Recruiter @ Della Infotech
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