Lead AI Automation Engineer

AbbVie  ·  via Biotechroles
💰 150,000 - 220,000/yr 📍 North Chicago, North Chicago ⏰ Full Time

As a Lead AI Automation Engineer, you will drive measurable business impact by designing and implementing AI-powered automation solutions that transform how our Corporate Services and HR business partners operate. You will serve as the critical bridge between complex business needs and technical execution—deeply understanding current-state processes, translating inefficiencies into innovative automation opportunities, and leveraging enterprise tools and AI agents to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking: you will architect end-to-end solutions, build working prototypes, mentor the team in design thinking and agentic development, and ensure every solution drives tangible efficiency gains and value for stakeholders. 

This role reports to the Associate Director, BTS Corporate Services within the Business Technology Solutions department. We set the vision for how data, analytics and AI automation enhance our enterprise systems. We work closely with business partners and technical implementors to bring that vision to life. This is a hybrid role required to be on-site Tuesday through Thursday every week in Lake County, IL.

Responsibilities: 

  • Engage deeply with Corporate Services and HR stakeholders to understand current-state processes, pain points, constraints, to-be business requirements, and success metrics; translate these into technical solution designs that deliver measurable efficiency gains.
  • Engineer and implement scalable AI automation solutions; delivering clean, scalable, production-ready code that integrates with enterprise systems and optimizes business partner workflows. 
  • Prioritize rapid prototyping and iterative development, building working MVPs quickly to validate solutions with stakeholders, then refining based on feedback to accelerate time-to-value. 
  • Cultivate cross-team relationships while continuously expanding technical knowledge; identifying existing capabilities, shared platforms, and collaborative opportunities that maximize internal resources and drive productivity gains.