Senior AI Governance Specialist

American IT Systems•Dallas, TX

1d•Onsite

About The Position

We are seeking a Senior AI Governance Specialist to establish, scale, and oversee the governance framework for our enterprise-wide Generative AI and autonomous agent initiatives. In this role, you will bridge the gap between technical execution and corporate compliance. You will design guardrails for cutting-edge LLM platforms while proving financial and operational business value directly to executive leadership.

Requirements

Deep conceptual understanding of LLM architectures, fine-tuning, RAG frameworks, and autonomous multi-agent lifecycles.
Hands-on experience with AI governance software, automated model monitoring platforms, and risk management suites.
Proven track record handling enterprise data protection, lineage mapping, and intellectual property guardrails in cloud environments.
Elite presentation skills with a history of delivering complex regulatory and financial reports to senior executives.

Responsibilities

Design and enforce the enterprise-wide Responsible AI framework, ensuring ethical alignment, bias mitigation, and transparency.
Establish comprehensive risk assessment protocols for Generative AI, Large Language Models (LLMs), and multi-agent systems.
Ensure strict compliance with evolving global AI regulations, data privacy mandates, and corporate legal requirements.
Define policy and architectural boundaries for autonomous AI agents, including tool execution permissions and escalation protocols.
Architect data governance strategies specifically tailored for AI training, fine-tuning, and retrieval augmented generation (RAG).
Manage access controls, model version ownership, and secure API data exchange between enterprise systems.
Develop methodologies to quantify and track the Return on Investment (ROI) for enterprise AI deployments.
Identify key performance indicators (KPIs) to measure efficiency gains, cost reductions, and revenue generation from GenAI initiatives.
Monitor token usage efficiency and compute costs to drive optimization without sacrificing model quality.
Translate complex AI technical risks and performance metrics into clear, actionable executive-level dashboards.
Advise C-suite leadership and board members on strategic AI risks, maturity roadmaps, and competitive alignment.
Drive organizational change management to cultivate an AI-ready, compliance-first corporate culture.