• Location: Fenton, Missouri
  • Type: Contract To Hire
  • Job #7228

Automation & AI Lead
About the Opportunity
Our client is seeking an experienced Automation & AI Lead to drive enterprise-wide intelligent automation and AI initiatives.
Why This Role Stands Out
The Automation & AI Lead is a hands-on technical leadership role responsible for architecting, building, and scaling the company's intelligent automation and agentic AI capabilities.
This is not a strategy-only leadership position. You will lead a team of Automation and AI practitioners while remaining deeply involved in solution delivery—designing multi-step agentic workflows, building AI coworker solutions, and integrating intelligent automation across enterprise platforms including Azure and Databricks.
As a true player-coach, you will:

  • Own the technical vision for Automation and AI
  • Lead and mentor a growing team of engineers
  • Design and deploy real-world AI and automation solutions
  • Drive enterprise adoption across multiple business functions
  • Build scalable agentic AI capabilities that deliver measurable business impact

This is a unique opportunity to help shape the future of AI within a large, technology-forward organization while remaining hands-on with architecture, development, and implementation.


Key Responsibilities
Leadership & Strategy

  • Lead, mentor, and develop a team of Automation and AI Engineers
  • Establish and execute the Automation & AI roadmap
  • Partner with executive and business stakeholders to identify high-impact AI opportunities
  • Create governance frameworks, standards, and best practices for AI and automation initiatives

Agentic AI & Intelligent Automation

  • Design and implement agentic AI workflows utilizing LLMs, multi-step reasoning, tool use, and autonomous decision-making
  • Build AI coworker solutions and intelligent agents integrated with enterprise systems
  • Develop end-to-end automation solutions using Python, Power Automate, and RPA platforms
  • Apply advanced prompt engineering techniques to optimize AI performance, reliability, and adoption

Data, Platforms & Integration

  • Design and manage API integrations and data pipelines across enterprise applications
  • Leverage Azure and Databricks to support AI, automation, analytics, and workflow orchestration
  • Ensure solutions are secure, scalable, and aligned with responsible AI and data governance standards

Required Qualifications

  • 7+ years of hands-on experience in Automation, AI/ML, Software Engineering, or related disciplines
  • 3+ years of experience leading technical teams or enterprise initiatives
  • Strong proficiency with Python and enterprise automation development
  • Experience with RPA platforms such as UiPath, Automation Anywhere, or Blue Prism
  • Hands-on experience building solutions using LLMs and agentic AI frameworks
  • Experience with Microsoft Azure services and cloud-based architectures
  • Strong background in APIs, system integrations, and data pipelines
  • Proven ability to translate business requirements into scalable technical solutions and communicate effectively with executive stakeholders

Preferred Qualifications

  • Databricks experience (Lakehouse, Delta Lake, AI/ML pipelines)
  • Microsoft Power Platform experience
  • Construction, engineering, manufacturing, or project-based industry experience
  • AI governance, compliance, and responsible AI experience
  • Azure AI, Power Platform, Databricks, or RPA certifications

Technology Stack
AI & LLMs: Claude, OpenAI, Azure OpenAI, Agentic AI Frameworks
Cloud: Microsoft Azure (Azure AI, Azure Functions, Logic Apps, Data Factory)
Data & Analytics: Databricks, SQL, Delta Lake, Synapse, Power BI, PySpark
Automation: Python, Power Automate, UiPath, Automation Anywhere, Blue Prism
Integration: REST APIs, Azure API Management, ERP Integrations, Database Pipelines
 

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