AI Platform Engineer

Vallen Distribution is an industry leader in delivering flexible supply chain solutions and is seeking an AI Platform Engineer to drive their Databricks AI/ML platform layer. The role involves owning the AI/ML layer, delivering automation use cases, and ensuring enterprise AI governance while collaborating with various business teams.

Responsibilities:

• Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards
• Define and enforce prompt engineering standards and LLM integration patterns across internal tools
• Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity Catalog lakehouse
• Evaluate and implement agentic frameworks (Claude API, Databricks AI agents) for internal automation
• Directly build and deliver 2–3 automation use cases per year with business teams (HR, Legal, customer service, operations)
• Own full delivery lifecycle: scoping, design, build, testing, and handoff to platform operations
• Produce well-documented, governed solutions — not one-off scripts
• Serve as the first-filter reviewer for all AI tools and platforms proposed for use at Vallen
• Partner with Security and Infrastructure to assess data classification risk, vendor posture, and integration risk before production deployment
• Review user-built solutions (Claude Desktop, Copilot, Cowork, and similar tools) and determine when a productivity workflow has crossed into enterprise scope — then lead the governed rebuild
• Maintain Vallen's enterprise AI acceptable use policy, data classification guardrails, and platform-tier standards
• Embed with departments to surface and prioritize automation opportunities
• Maintain a scored use case backlog; facilitate structured discovery sessions with business stakeholders
• Serve as the internal AI resource teams engage before going external