AI Engineer

AI Engineer

The AI Engineer will build and deploy practical AI applications that improve commercial performance—including quoting, pricing, pipeline management, capacity planning, and forecasting.

This role is focused on the front end of the business, partnering directly with Sales, Finance, and Operations leadership to turn data into faster, better decisions. This role will build solutions that are embedded in daily workflows and deliver measurable business outcomes.

Work Mix:

• 50–60% : Build and maintain AI applications (Databricks-based)
• 40–50% : Work directly with sales, finance and operations

Core Responsibilities

• Partner with Sales, Finance, and Operations to identify high-value AI use cases.
• Build and deploy AI-enabled applications using Databricks
• Integrate data across CRM, CPQ, ERP, and contract systems
• Embed tools directly into commercial workflows (not standalone dashboards)
• Lead pilots end-to-end (design → test → launch → sustain)
• Train users and drive adoption within real business routines
• Ensure accuracy, governance, and compliance (AS9100 / ITAR / DFARS)
• Align with Corporate and Division IT on AI standards and controls
• Report measurable improvements in revenue, margin, and forecast performance

Qualifications

Experience

• 3-6 years developing complex applications
• 2+ years of AI experience
• Experience with CRM and/or CPQ systems strongly preferred
• Experience supporting commercial or revenue operations is a plus

Technical Skills

• Required: Databricks (SQL, Delta Tables, Unity Catalog)
• AI capabilities: LLM APIs, prompt engineering, RAG workflows
• Strong SQL and Python (or equivalent)
• Familiarity with APIs, Git, and application deployment

Working Style

• Strong business translator—turns commercial problems into scalable solutions
• Effective with:
• Drives adoption—not just delivery
• Focused on building tools that are actively used and that deliver P&L results

Work Environment

• California based – Los Angeles or Orange County
• ~25% travel for sales engagement, working sessions, and deployments
• Travel intensity higher during build/launch phases