Ai solutions engineer (supply chain ai & automation)

Key Responsibilities (Written as measurable delivery) 1) Discovery & Value Definition Facilitate workshops with Operations, Planning, Logistics, Finance, and IT to map processes and identify automation opportunities. Convert ambiguous pain points into concrete artifacts: problem statements, SIPOC, requirements, risk assumptions data readiness assessment measurable success metrics (baseline vs target) 2) Roadmap + Business Case Ownership Build and maintain a 1–3 year roadmap of AI initiatives with sequencing, dependencies, and resourcing needs. Create business cases using financial justification (ROI, payback, sensitivity ranges) and operational baselines. 3) Build & Deploy AI Solutions (Hands-On) Develop production-grade AI solutions and agents using modern AI technologies, including LLM APIs where appropriate. Implement evaluation + monitoring to ensure accuracy, stability, and safety in real workflows. Deploy solutions in a way that is supportable, auditable, and measurable. 4) Techn...