AI Program Lead

Mesa Associates, IncMadison, AL

About The Position

Mesa seeks an AI Program Lead that will lead the identification, evaluation, and rollout of AI solutions across the organization. Partner with business leaders, IT, and Security to prioritize high-impact use cases, manage vendors and platforms, establish governance and guardrails, and enable end users through training and change management.

Requirements

  • Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow.
  • Ability to operationalize large language models efficiently, including monitoring, reliability, and cost control.
  • Working knowledge of PII, data access controls, and secure AI practices.
  • Ability to explain AI concepts and decisions to non-technical stakeholders and drive change across teams.

Nice To Haves

  • Defined AI use cases per function (e.g., HR, Finance, Operations, Business Development).
  • Measurable productivity KPIs tied to prioritized workflows.
  • Structured pilot-to-scale approach with governance and adoption support.
  • 3–5 high-impact workflows identified and validated for value and feasibility.
  • Data exposure risks assessed and mitigated in partnership with IT & Security.
  • Training program launched with internal champions to drive responsible usage.

Responsibilities

  • Audit workflows: Identify departments and processes that will benefit most from AI.
  • Vendor management: Evaluate, select, and implement tools (e.g., OpenAI API, Microsoft Copilot, Claude).
  • Data oversight: Partner with IT to ensure data security and compliance with PII standards.
  • Training & enablement: Create prompt engineering guidelines and develop training materials for end users.
  • Foundation building: Establish internal policies, guardrails, and adoption mechanisms to scale AI safely.
  • Roadmap & stakeholder alignment: Develop an AI roadmap (scope, prioritization, coordination) with internal stakeholders.
  • Prototyping: Prototype and demonstrate small solutions using AI platforms (e.g., Copilot) to validate value.
  • Talent planning: Identify future hiring needs and skills required to support the AI roadmap.
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