Lead, Data AI – Engineering

Job not on LinkedIn

🔥 1 minute ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Murphy-Hoffman Company (MHC Kenworth)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1975

🚘 Automotive

🏭 Manufacturing

🛡️ Insurance

Automotive • Manufacturing • Insurance

Murphy-Hoffman Company (MHC Kenworth) is a full service dealership network specializing in the sale and servicing of heavy-duty and medium-duty trucks, predominantly featuring Kenworth and Volvo brands. With over 130 locations across 19 states, MHC offers a wide range of services including truck sales, leasing, financing, and repair services. Their commitment to customer service is supported by 24/7 operations in major markets and a robust inventory of trucks and parts.

📋 Description

• Architect and build MHC’s core data platform across ingestion, transformation, storage, and serving layers for batch and streaming workloads • Model data for analytics and product use cases, creating documented reusable datasets and a trusted semantic layer • Establish data quality, lineage, observability, and governance practices • Build pipelines and feature/embedding stores for analytics, ML, and LLM applications • Turn operational and document data into metrics, signals, predictions, and document understanding • Build and evaluate models and retrieval systems, including RAG over documents • Partner with Product to design and ship LLM-powered features from prototype to production with guardrails, evaluation, and cost controls • Manage, mentor, and grow a team of 2–4 data and AI engineers • Set technical standards and a pragmatic data and AI roadmap • Make build-vs-buy decisions and balance speed with maintainability • Collaborate with Product, Engineering, and business stakeholders • Review code and designs, prototype difficult problems, and maintain engineering quality • Deliver a prioritized roadmap and early data-layer wins within 90 days • Establish a reliable data foundation and first AI/LLM-powered feature within six months • Build a steady stream of data products and AI features within one year

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Security, or a related field or equivalent years of experience • 7+ years building data and/or backend systems in production, with recent hands-on experience in both data engineering and applied AI/ML • Strong SQL and Python • Experience with a cloud warehouse/lakehouse such as Snowflake, BigQuery, Databricks, or Redshift • Experience with transformation tools such as dbt • Experience with orchestration tools such as Airflow, Dagster, or Prefect • Hands-on experience building production AI/ML features • Practical experience with LLMs, including prompting, RAG, embeddings/vector search, evaluation, and integrating models via APIs or open-source models • Software engineering fundamentals including data modeling, API design, testing, CI/CD, and reliable systems on AWS, GCP, or Azure • Experience leading or mentoring engineers and interest in growing a team • Strong product sense and communication skills • Preferred: experience with document AI/intelligent document processing or NLP over unstructured text • Preferred: experience operating LLMs in production, including evaluation/observability, prompt and cost optimization, fine-tuning, or agentic workflows • Preferred: background in B2B SaaS, document/process automation, fintech, or other data-heavy enterprise domains • Preferred: familiarity with data privacy, security, and compliance such as SOC 2 and GDPR • Preferred: experience with streaming, infrastructure-as-code, and MLOps/LLMOps tooling • Candidates must be based in the United States • This role is not eligible for visa sponsorship

🏖️ Benefits

• Flexible, work-where-you-live model • 401(k) plan with deferred and Roth options and employer match of 50% up to a maximum of 4.5% of gross pay • Comprehensive medical plans with co-pay or HSA coverage options • Dental and vision plans • Daycare and Medical FSA/HSA • Group term life insurance coverage of $50,000 • Generous paid time off (PTO) policies • Employee Assistance Program (EAP) • Additional life insurance • Critical illness insurance • Accident, cancer and hospital indemnity insurance • Legal/ID Shield • Pet insurance • Four weeks of paid paternity leave after one year of employment, with partial eligibility beginning at six months, where no state paid leave program applies • Twelve weeks of paid leave for the birth parent, eligibility rules apply