AI Engineer

The AI Engineer will build and deploy practical AI applications that improve commercial performanceincluding 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:

• 5060%: Build and maintain AI applications (Databricks-based)
• 4050%: Work directly with sales finance and operations

Core Responsibilities

• Partner with Sales Finance and Operations to identify high-value AI use cases. (e.g. opportunity summaries and next best actions guided quoting and pricing guardrails similar deal insights and recommendation engines pipeline and forecast intelligence dashboards deal books forecasting and SIOP inputs guided quoting and pricing guardrails market and opportunity summaries daily sales TOC dashboard)
• 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 translatorturns commercial problems into scalable solutions
• Effective with:
• Drives adoptionnot 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