AI Implementation Lead

Kforce has a client in Minneapolis, MN that is seeking an AI Implementation Lead to help engineering and product teams operationalize AI across the Software Development Lifecycle (SDLC)., This is not a traditional AI strategy, advisory, or change management role. We are looking for a proven execution leader who has firsthand experience guiding engineering teams through AI adoption, AI-enabled delivery practices, and AI-PDLC transformations in real-world environments.

The successful candidate will work directly with Scrum teams, Engineering Managers, Architects, Product Owners, and Technology leaders to identify implementation challenges, establish practical AI-enabled workflows, define measurable outcomes, and drive adoption across the software delivery lifecycle. This role requires the ability to bridge strategy and execution by translating high-level transformation goals into team-level practices that improve productivity, quality, and delivery performance., * Lead implementation of AI-first software delivery practices across multiple Scrum teams

• Coach engineers, architects, QA teams, and product teams on practical AI adoption
• Embed AI into planning, development, testing, documentation, deployment, and operational workflows
• Identify productivity, quality, and delivery challenges through direct engagement with engineering teams
• Facilitate implementation workshops and help teams overcome adoption barriers
• Translate strategic initiatives into executable plans, playbooks, and repeatable operating practices
• Define KPIs and success measures for AI adoption initiatives and track measurable outcomes
• Drive improvements in developer productivity, cycle time, software quality, engineering throughput, AI adoption, and delivery predictability
• Establish governance guardrails, implementation standards, and scalable AI-enabled delivery patterns

• 8+ years of leading software delivery, engineering transformation, SDLC modernization, or developer productivity initiatives
• 3+ years of leading AI-enabled engineering, AI adoption, or AI transformation programs
• Demonstrated experience coaching engineering teams through implementation and adoption of AI practices
• Experience implementing AI-assisted workflows within Agile and Scrum environments
• Experience defining and operationalizing adoption roadmaps
• Experience establishing and tracking measurable transformation outcomes
• Strong understanding of software engineering practices, DevOps, CI/CD, testing strategies, architecture, and Agile delivery

Candidates Must Be Able to Demonstrate:

• Specific examples of AI adoption challenges identified within engineering teams
• Actions personally taken to resolve implementation issues or adoption barriers
• Metrics established and used to measure success
• Examples of execution artifacts, playbooks, frameworks, or operating models they created
• Delivery decisions directly influenced
• Measurable business and engineering outcomes achieved through AI adoption

Preferred Experience:

• AI-PDLC or AI-First SDLC transformations
• Developer productivity and engineering effectiveness programs
• GitHub Copilot, Claude Code, Cursor, and similar AI engineering platforms
• Agentic AI workflows and AI-assisted software development
• Enterprise Agile Transformations
• Financial services, banking, or other regulated industries
• Organizational AI governance and responsible AI practices

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.