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) Technology Stewardship & Enablement Define best practices for prompt design, agent tools, safe data usage, and responsible AI patterns. Document solutions (runbooks, user guides, change logs) and train business users to adopt and maintain solutions. 5) KPI Tracking & Continuous Improvement Measure savings and performance: time saved, error reduction, throughput impact, service improvements.



Iterate based on telemetry, user feedback, and operational changes. Required Qualifications (Must-Have) Experience: 5–10 years in engineering, analytics, supply chain tech, automation, or related roles with demonstrated delivery of systems/solutions Applied AI Capability: Experience implementing AI solutions in business environments (Gen AI/LLMs, predictive analytics, optimization, automation) Hands-On Engineering: Ability to build and integrate working solutions (not only manage vendors or create slides) Integration & Data: Experience with APIs, data extraction/processing, structured data formats (CSV/JSON), and connecting to business systems Business + Technical Communication: Ability to present solutions to executives and frontline users with clarity and credibility Languages: Fully bilingual Spanish–English Travel: Ability to travel in U. S. and Canada Preferred Qualifications (Nice-to-Have) Experience with AI agent frameworks (e.g., orchestration frameworks), RAG concepts, or vector search patterns Experience with cloud AI services and operational best practices Supply Chain domain expertise (WMS/ERP/TMS, distribution/warehousing, planning, transportation) Project management and continuous improvement methods (value stream mapping, Lean, etc.) #J-18808-Ljbffr

📌 Ai solutions engineer (supply chain ai & automation) (Tijuana)
🏢 Avery Products, De C.V.
📍 Tijuana