AI Solutions Lead

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Full Time Aurora, IL, US

2 days ago Requisition

Salary Range: $ To $ Annually

Crawford, Murphy & Tilly is seeking an AI Solutions Lead to join the Corporate Services team in the Chicagoland area.

This is not a remote position.

The AI Solutions Lead is responsible for identifying, shaping, delivering, and scaling practical artificial intelligence and automation solutions that improve CMT’s project delivery, business operations, knowledge access, and employee experience. The role serves as a bridge between engineers, project managers, business leaders, Technology, Data Analytics, and external solution providers, translating operational needs into secure, usable, and measurable AI-enabled capabilities.

This position combines AI product leadership, business process improvement, solution design, implementation oversight, governance support, and change management. The AI Solutions Lead will build a prioritized portfolio of use cases, guide solutions from discovery through adoption, and help establish repeatable methods for responsible AI  role is expected to remain close to CMT’s engineering and consulting workflows so that solutions address real business needs and can be sustained after launch.

We are a fast-growing firm with 500+ employees across 25 offices in 10 states serving clients through our four primary business groups:

The AI Solutions Lead is an experienced professional focused on applying expert-level knowledge and skills to assigned projects.

Supervisory Responsibilities

• Formal direct supervisory responsibilities may be assigned as the function grows.
• Lead cross-functional solution teams through influence, clear product direction, and coordinated delivery.
• Provide dotted-line guidance to AI champions, citizen developers, subject matter experts, interns, consultants, and vendors supporting AI initiatives.
• Coach employees in responsible AI use, solution design, testing, adoption, and continuous improvement.

What you will do:

• Partner with business units and corporate functions to discover, document, and prioritize AI and automation opportunities tied to defined business needs.
• Map current-state workflows, identify bottlenecks and manual handoffs, and design improved future-state processes enabled by AI, automation, data, or digital tools.
• Build and maintain an enterprise AI solutions roadmap, including use-case value, feasibility, risk, dependencies, sequencing, ownership, and adoption requirements.
• Translate ambiguous business needs into clear product requirements, user stories, acceptance criteria, process designs, and implementation plans.
• Lead rapid prototypes and pilots using approved platforms, including Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, and other CMT-approved technologies.
• Coordinate solution development with Technology, Data Analytics, Dev, cybersecurity, legal, risk, records management, business leaders, vendors, and end users.
• Support CMT’s responsible AI governance practices, including intake, risk review, data handling, human oversight, documentation, testing, release, and ongoing monitoring.
• Create implementation, training, communication, and support plans that help employees confidently adopt new solutions and use them appropriately.
• Develop reusable solution patterns, templates, playbooks, and standards to accelerate future AI and automation work across CMT.
• Identify opportunities to improve engineering, planning, architecture, environmental, and project management workflows, including project setup, scoping, design production, quality processes, knowledge management, reporting, and closeout.
• Support business-operation improvements in areas such as finance, human resources, marketing, business development, and corporate administration.
• Facilitate demonstrations, workshops, office hours, and communities of practice that build practical AI literacy and surface new use cases.
• Support external thought leadership where appropriate, including conference presentations, client conversations, recruiting, and industry partnerships.

Here is what you’ll need:

• Bachelor’s degree in engineering, computer science, information systems, data science, business, product management, or a related field. An equivalent combination of education and relevant experience may be considered.
• Graduate education in business, artificial…