AI Consulting- Wisconsin​/Indianapolis

The AI Sherpa guides enterprise clients through their Physical AI and Agentic transformation journey as a trusted advisor, evangelist, and hands‑on implementation partner. You bridge the gap between emerging Physical AI capabilities — spanning robotics, computer vision, edge AI, digital twins, and autonomous Agentic workflow systems — and real‑world operational outcomes. You walk the terrain with the client: discovering friction points, co‑designing interventions, and shepherding solutions from concept to measurable impact.

• Client Engagement & Evangelism Serve as the embedded AI thought leader for assigned accounts. Conduct discovery workshops and readiness assessments to surface high‑value intervention points across physical operations. Translate complex use‑case concepts into compelling, outcome‑oriented narratives for executive and operational audiences.
• Use Case Identification & Intervention Design Lead structured discovery sessions with operational teams and SMEs to uncover Physical AI and Agentic workflows opportunities. Map pain points to concrete use cases — computer vision, sensor‑integrated ML, autonomous dispatch, predictive maintenance, edge inference — and prioritize them using a Value‑Feasibility‑Risk framework.
• Solution Architecture & Implementation Act as lead solutioning partner working alongside engineering and data science teams to define the end‑to‑end Physical AI architectures across cloud, edge, and on‑device environments. Oversee the journey from PoC → pilot → scaled deployment in collaboration with technology partners (NVIDIA, Azure AI, AWS, Anthropic, and domain SaaS platforms).
• Outcome Derivation & Value Realization Define outcome frameworks linking every AI intervention to quantifiable business metrics. Establish baselines, track post‑deployment KPIs, and communicate ROI through executive scorecards. Build the business case for scaling pilots into enterprise programs.
• Roadmap, Governance & Adoption Co‑create a AI Transformation Roadmap with clients across near-, mid-, and long‑term horizons. Establish responsible AI governance — covering safety, compliance, and risk management for systems operating in physical environments. Drive change management to ensure operational teams embrace AI‑augmented workflows.

• 10+ years in AI/ML, robotics, IoT, or technology consulting — 3+ years in a client‑facing advisory or transformation role
• Hands‑on experience with Physical AI solutions: computer vision, edge AI, digital twins, autonomous systems, or sensor‑integrated ML
• Proven ability to influence C‑suite stakeholders and translate technical concepts into business value
• Experience in Steel / Agriculture/Process Chemical verticals preferred

• 3–5 Physical and Agentic AI use cases identified, scoped, and in active delivery per account
• At least 2 pilots transitioned to scaled deployment with documented ROI
• AI governance framework established and operational