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Scout Motors

Manufactures all-electric trucks and rugged SUVs

Manager – Data Platform - AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCharlotte, NC, USA

About the Job

Requirements

  • A bachelor's degree in computer science, information technology, or a related field, or equivalent work experience.
  • At least 7 years of experience in data engineering, software engineering, AI engineering, or related technical disciplines.
  • At least 3 years of experience leading technical teams and Agile delivery teams.
  • Strong hands-on experience designing and developing enterprise data solutions.
  • Strong experience leading data engineering and AI engineering teams.
  • Experience managing cross-functional technical teams through full software development lifecycles.
  • Experience with AI tools and platforms such as Databricks Data/AI Platform, Open WebUI, n8n, Pinecone, LangChain, and LangGraph.
  • Experience with cloud platform technologies such as AWS or Azure, Docker, Kubernetes, CI/CD pipelines, and monitoring and observability platforms such as Datadog.
  • Experience with generative AI solution development, retrieval-augmented generation (RAG), prompt engineering, AI agents and agent frameworks, vector databases such as Pinecone, and large language models (LLMs).

Responsibilities

  • Lead, mentor, and develop a team of data engineers, AI engineers, and technical consultants.
  • Establish team goals, performance expectations, career development plans, and technical growth initiatives.
  • Foster a high-performing engineering team environment focused on innovation, collaboration, quality, and continuous improvement.
  • Provide technical guidance, coaching, and code reviews across data engineering and AI initiatives.
  • Participate in recruiting, hiring, onboarding, and workforce planning activities.
  • Architect, design, develop, and support scalable data platforms using Databricks and cloud-native technologies.
  • Lead development of enterprise data pipelines and ETL/ELT processes supporting analytics, AI, and operational reporting.
  • Drive data quality, governance, lineage, metadata management, and security practices.
  • Lead the design and deployment of AI and generative AI solutions that drive measurable business outcomes.
  • Evaluate emerging AI technologies and recommend opportunities for business adoption aligned with team and enterprise objectives.
  • Collaborate with enterprise architects to define platform standards and reference architectures.
  • Ensure data and AI solutions align with enterprise governance, cybersecurity, privacy, and compliance requirements.
  • Drive platform scalability, reliability, resiliency, and operational readiness.

About the Company

Scout Motors

Manufactures all-electric trucks and rugged SUVs

Scout Motors designs and manufactures all-electric trucks and rugged SUVs, reviving the classic Scout brand with US-based operations. Vehicles are built on a purpose-built body-on-frame electric platform developed in-house to deliver credible off-road performance, with manufacturing in Blythewood, South Carolina and an innovation center in Michigan handling design and engineering. The company uses a direct-to-consumer model with online reservations to sell its EVs. What sets Scout Motors apart is its in-house, rugged EV platform tailored for off-road use, combined with the heritage of the Scout name and support from the Volkswagen Group, allowing it to focus on outdoor recreation enthusiasts and a strong community while showcasing American manufacturing. The goal is to bring authentic, capable electric off-road vehicles to market and grow a dedicated community around the revived Scout brand.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Detroit, MI
Founded
2022

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