Applied AI Engineer

The Applied Artificial Intelligence Engineer will build and deploy practical AI applications that improve commercial performance - including quoting, pricing, contract review, pipeline management, capacity planning, and forecasting.

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

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

• Partner with Sales, Finance, Operations, Quality, and Engineering to identify high-value AI use cases for analysis, summarization, and action recommendation. Examples include, but not limited to:
  • Market and opportunity summaries
  • Guided quoting and pricing guardrails, deal books, similar deal insights
  • Pipeline and forecast intelligence dashboards, SIOP inputs
  • Daily sales TOC dashboard
  • Contract Review
  • Quality disposition and RCCA
  • OCR extraction of records in varying format into centralized database
• 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)
• 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
• Creating evaluations and using observability tools to measure and monitor performance

Success in this role will be measured through business impact, including improvements in quote cycle time, forecast accuracy, pricing effectiveness, commercial productivity, capacity planning, and margin performance.

• Databricks (SQL, Delta Lake, Model Serving, Unity Catalog)
• Strong SQL and Python (or equivalent)
• Familiarity with APIs, Git, and application deployment
• Data exploration and analysis

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, Physics, or related discipline. Master's degree preferred.
• 3-6 years developing complex applications
• 2+ years of AI/ML experience
  
  Experience with CRM and/or CPQ systems strongly preferred
• Experience supporting commercial or revenue operations is a plus
• Experience with fine-tuning models for specific tasks
• Experience with vector databases, embeddings, evaluation frameworks, AI observability, and production LLM application architectures.
• Manufacturing analytics
• Quality analytics and root-cause analysis

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

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to walk, sit, and talk or hear. The employee frequently is required to stand and use hands to finger, handle, or feel. The employee is occasionally required to reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 35 pounds.

Specific vision abilities required by this job include close…