Applied AI Engineer

We need to output HTML fragment with sections: Use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections when posting has real, specific content. Remove boilerplate, navigation, EEO, etc. Also remove application instructions. Keep all substantive info. We need to parse the posting. Content: 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 → 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 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 Demands: 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 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. Then EEO boilerplate. We need to remove EEO, navigation, legal, etc. Also remove any duplicated lines. Also remove application instructions (none present). Also remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. We need to decide sections: About the role (maybe from Position Summary and Primary Duties & Responsibilities). Responsibilities (Core Responsibilities). Requirements (maybe Experience & Education). Skills (Required Skills). Benefits? Not present. Pay? Not present. Schedule? Not present (though travel % maybe schedule? Not exactly schedule). Working Style maybe part of About the role? Could be separate but not required heading. Physical Demands and Work Environment maybe could be part of About the role or separate but not required headings. The instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings? It says use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect only those headings if content exists. We can include other headings if needed but better to stick to those. However we have content like Physical Demands and Work Environment; maybe we can incorporate into About the role or Responsibilities? Probably better to include as separate sections but not in the list? The instruction: "Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It gives examples but not exclusive. It says "Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can use other headings as needed but they gave examples. Probably safe to include only those that have content. We have About the role (summary), Responsibilities (core responsibilities), Requirements (experience & education), Skills (required skills). No Benefits, Pay, Schedule. So we output those four sections. We need to preserve all substantive information. So we need to include the details from Position Summary, Primary Duties & Responsibilities, Work Mix, Core Responsibilities, Success measurement, etc. Under About the role we can combine Position Summary and Primary Duties & Responsibilities and Work Mix maybe. Under Responsibilities we list the core responsibilities bullet points. Under Requirements we list Experience & Education. Under Skills we list Required Skills. We need to use

• for any list of duties/requirements/benefits, and

  for prose. Thus for About the role: we can have a

  summarizing position summary and primary duties and work mix. Could be multiple paragraphs? Probably one

  with the combined info. For Responsibilities: we need a

  with each responsibility as
  • . The core responsibilities list includes many items; we need to preserve all. Let's extract them: - 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 → 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 - 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. We need to keep the bullet points as list items. The sub-examples could be separate list items or we can keep as part of the parent item. Probably better to flatten: each bullet as separate
  • . The "Examples include, but not limited to:" could be a heading but we don't want extra headings. We'll just list each example as its own
  • . Also the "Partner with Sales..." is a bullet. Thus list items: - Partner with Sales, Finance, Operations, Quality, and Engineering to identify high-value AI use cases for analysis, summarization, and action recommendation. - 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 → 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 - 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. That seems comprehensive. Now Requirements: Experience & Education. We need to list as
    • each item? The instruction: Use
      • for any list of duties/requirements/benefits. So we should list each requirement as a list item. Items: - 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.) We could also include "Experience & Education" heading but we will put under Requirements. Now Skills: Required Skills. List items: - 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 We could also include maybe "Strong SQL and Python (or equivalent)" as one item. Now About the role: we need a

        with prose summarizing position summary