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Architect IAM for AI / Platform (PAM-Focused)

PublishedPublished: 6/14/2022
Technology

Job Description

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

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Location: NYC, NY (3 days onsite minimum)

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Duration: 11 months

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Work Type: Onsite

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Job Type: Temporary Assignment

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Pay Rate: $ 57-60/ Hr

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Overview:

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TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide

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Job Summary:

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Overview

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

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Key Skills & Background

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Proficiency witth:

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  • Cprogramming language
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  • Unix/Linux systems
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  • Knowledge of:
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  • Cryptography
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  • Authentication & authorization concepts
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  • Experience working in:
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  • Secured enterprise environments
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  • Agile development teams
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Engineering Skills:

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  • Python and Perl development
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  • Ability to communicate technical concepts to business stakeholders
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  • Strong collaboration and independent execution capabilities
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  • Contributions to Linux/Unix/open-source projects are valued
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  • Knowledge of Kerberos (preferred)
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  • Core Responsibilities:
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  • AI / LLM Platform Engineering
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  • Lead hands-on development of AI-enabled and LLM-based applications
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  • Build agentic and multi-agent systems
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  • Design and implement orchestration architectures including:
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  • Function invocation
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  • State and memory management
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  • Policy-aware execution
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AI Engineering & Integration:

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  • Develop intelligent agent workflows using:
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  • Prompt design
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  • Grounding strategies
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  • Tool orchestration layers
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Platform Ownership:

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  • Own full-stack AI system architecture:
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  • APIs
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  • Data pipelines
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  • Model serving and observability
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  • Ensure performance, scalability, and reliability across environments
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Security & Governance

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  • Embed secure-by-design principles, including:
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  • Access controls
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  • Logging and traceability
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  • Explainability
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  • Human-in-the-loop safeguards
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  • Drive reviews, mentoring, and best practices for AI engineering
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Required Skills

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  • Hands-on platform engineering experience end-to-end
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  • Deep expertise in:
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  • LLMs and model lifecycle
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  • Prompt engineering and grounding
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  • Hallucination mitigation
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  • Strong system design experience including:
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  • Multi-agent architectures
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  • Distributed systems
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  • Cloud-native development
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Key Technologies / Areas

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  • LLM frameworks and orchestration
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  • Cloud platforms and APIs
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  • Distributed systems design
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  • AI governance frameworks
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TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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