Enterprise AI Delivery Lead

Mesa Associates, Inc; Madison (AL); On-site; USD 140,000 - 200,000; Full time

Job summary

Mesa Associates, Inc. seeks an AI Technical Lead to translate approved AI opportunities into secure, measurable business solutions. You will assess use cases, shape architecture, and guide prototypes while coordinating with IT, governance, and control teams.

The role requires leading AI intake, evaluating workflows for value and readiness, and ensuring production readiness, monitoring, and risk management. Strong Python/SQL and enterprise AI platform experience are essential.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• Master’s degree preferred for advanced roles.
• Proficiency in Python and SQL with cloud AI experience.
• Experience moving solutions from feasibility to production and support.

Responsibilities

• Lead AI intake discussions, clarify business needs, and define outcomes.
• Evaluate workflows for business value, data readiness, integration needs, and risk.
• Design AI solution approaches, reusable patterns, integrations, and operating requirements.
• Evaluate AI platforms, models, vendors, and products with security considerations.
• Coordinate proofs of concept, testing, deployment readiness, and monitoring.
• Maintain AI roadmap and backlog, align delivery priorities.

Skills

Python

SQL

Cloud AI services

LLM platforms

APIs & integrations

Solution architecture

Delivery & PM

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or related field

Master’s degree in a relevant technical or analytical field

Tools

Azure AI

Microsoft Copilot

Azure OpenAI

MLOps

LLMOps

Job description

Mesa Associates, Inc. seeks an AI Technical Lead to translate approved AI opportunities into secure, measurable business solutions. You will assess use cases, shape architecture, and guide prototypes while coordinating with IT, governance, and control teams.

The role requires leading AI intake, evaluating workflows for value and readiness, and ensuring production readiness, monitoring, and risk management. Strong Python/SQL and enterprise AI platform experience are essential.