Applied AI EngineerCountryUnited States of America
State / County California
City South Gate
Division Wyman Gordon
Company Shultz Steel
Function Engineering
Workplace Type On-Site
Position type Full Time
Opportunity ID 23975
Job Description Position Summary: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.
Primary Duties & Responsibilities: 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.
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, 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)
- Lead pilots end-to-end (design 10 test 10 launch 10 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
- 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.
Required Skills:- Databricks (SQL, Delta Lake, Model Serving, Unity Catalog)
- AI capabilities: LLM APIs, LLM agent development, prompt engineering, RAG workflows
- Strong SQL and Python (or equivalent)
- Familiarity with APIs, Git, and application deployment
- Data exploration and analysis
- ETL/ELT workflows
Experience & Education - 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
- ERP systems (Syteline, Infor, SAP, Oracle, Epicor, etc.)
Working Style- 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
Physical DemandsThe 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 vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
This position is California based in the Los Angeles and/or Orange County area. Approximately 25% travel is required for sales engagement, working sessions, and deployments. Expect higher travel intensity during build/launch phases.
While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts, fumes or airborne particles, extreme heat, risk of electrical shock, and vibration. The noise level in the work environment is typically moderate.
For informational purposes only, the range of pay for this role is $106000 to $155000 US Dollar (USD) Salaried based on a variety of factors. For informational purposes only, this role is eligible to participate in the Company's Quarterly Cash Bonus Plan, paid out at the quarterly bonus factor of 2X the Company's bonus multiple, based on the Company's performance in the applicable quarter. Employees will receive 120 hours paid time off every year. Employees will also receive 10 paid holidays. Employees (and their families) are eligible to participate in the company's medical, dental, vision, and basic life insurance. Employees are eligible to enroll in the Company's 401(k) plan.
