PAM Engineer AI

Overview

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.

Job Title: PAM Engineer AI

Location: New York, NY

Duration: 11 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Pay Rate: $44.00 - $44.00/Hr

Job Description

Job Summary:

• Lead hands on development of AI enabled and LLM based applications, including agentic and automation driven systems.
• Design and implement agent orchestration architectures, including task decomposition, multi agent coordination, tool/function invocation, state and memory management, and policy aware execution flows.
• Engineer robust LLM interaction layers, including prompt design, grounding strategies (e.g., RAG), tool integration, feedback loops, and evaluation mechanisms.
• Own end to end AI system architecture, spanning APIs, services, data pipelines, model serving, and observability.
• Ensure AI solutions operate effectively across cloud native and hybrid environments, with attention to scalability, latency, and reliability.
• Embed security, compliance, and governance by design, including access controls, logging, traceability, explainability, and human in the loop safeguards.
• Provide technical leadership through architecture ownership, hands on coding, design reviews, and mentorship of AI engineers.

Required Skills

• Proven experience as a hands-on AI or platform engineer with leadership responsibility for production systems.
• Deep expertise in LLMs, including model selection, prompt engineering, grounding techniques, evaluation, and mitigation of hallucination and drift.
• Strong experience with agent frameworks and orchestration patterns, including multi agent systems, tool using agents, and agent lifecycle management.
• Solid background in cloud native architecture, APIs, distributed systems, and modern MLOps/LLMOps practices.
• Ability to translate business, risk, and regulatory requirements into concrete technical designs and implementations.
• Experience translating advanced AI (LLMs, agentic workflows, orchestration) into secure, governed, and auditable capabilities that are production ready for large, regulated enterprises.
• Experience with real-world deployments scenarios ensuring AI solutions work reliably across hybrid environments, integrate with enterprise platforms, and deliver measurable business outcomes.

Preferred Qualifications

• Experience implementing AI control frameworks (e.g., model controls, guardrails, evaluation, and auditability) aligned to NIST, ISO, or sector regulators.
• Knowledge of identity, access, and authorization models for agents and non human identities, including least privilege and JIT patterns.
• Familiarity of frameworks such as OWASP Top 10 for Agentic and LLM Applications, MITRE ATLS and NIST AI RMF.

TekWissen Group is an equal opportunity employer supporting workforce diversity.