Lead, AI Engineering

Here at Scout Motors were carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand its a legacy steeped in a culture of exploration caretaking and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasnt been around for a while electrifying it digitizing it and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play with vehicles that are equally at home at a camp site a job site or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements an all-electric powertrain as well as the Harvester range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors we empower our talented inclusive and entrepreneurial teams to innovate. What makes a Scout employee Someone who is a visionary and a leader who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If youre ready to drive change and make history apply now!

About the team

The AI Teamis responsible forbuilding the organizations intelligent technology capabilities by designing developing and scaling AI-powered products and platforms across the enterprise. The team combinesexpertisein machine learning generative AI data engineering and platform infrastructure to deliver innovative solutions that improve business outcomes and accelerate digital transformation.

The team focuses on:

• Developing machine learning and generative AI solutions that solve high-impact business problems.
• Building scalable AI infrastructure including model training deployment and inference platforms.
• Creating reusable AI platforms APIs and shared services for enterprise-wide adoption.
• Partnering with product engineering data and business teams toidentifyand prioritize AI use cases.
• Evaluating emerging AI technologies and rapidly prototyping new capabilities.
• Establishing best practices inMLOpsLLMOps governance security and responsible AI.

The AI Team operates at the intersection of innovation and engineering excellence transforming advanced AI technologies into production-grade enterprise solutions.

What youll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Lead the design implementation and evolution of scalable AI platforms
• Collaborate cross-functionallywith product managers architects developers data engineers and business leaders to deliver robust production-grade AI solutions.
• Design end-to-end AI data architectures including feature stores vector databases knowledge repositories and model-ready data pipelines.
• Lead the design training fine-tuning deployment and lifecycle management of machine learning and generative AI models.
• Design and oversee ETL/ELT pipelines in Python to support model training inference retrieval-augmented generation (RAG) and intelligent automation workflows.
• Lead development of AI-powered dashboards and observability platforms tomonitormodel performance trends forecasts drift and operational health.
• Design and implement resilient AI infrastructure components ensuring high availability scalability reliability and performance for training and inference workloads.
• Establish governance standards to ensure AI systems adhere to enterprise data quality security privacy and compliance policies.
• Build and governMLOps/LLMOpsframeworks including model registries CI/CD pipelines prompt versioning automated retraining and inference monitoring.
• Implement proactive monitoring and alerting solutions for AI systems including latency hallucination risk drift detection and infrastructure health.
• Partner with cybersecurity and compliance teams to ensure AI platforms meet enterprise security regulatory and responsible AI standards.
• Evaluate emerging AI tools frameworks and infrastructure platforms and prototype new capabilities to accelerate enterprise AI innovation.
• Mentor and leadAI engineers and platform teamsestablishingengineering best practices for scalable AI solution delivery.

Location & Travel Expectations:

• This role may be based out of theScout Motors corporate headquarters in Charlotte NC.
• This role requires 4 days per week in the office with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the companyfrom time to time.

What youll bring

We expect all Scout employees to have integrity curiosity resourcefulness and strive to exhibit a positive attitude as well as a growth mindset. Youll be comfortable with change and flexible in a fast-paced high-growth environment. Youll take a collaborative approach to achieve ambitious goals. Heres what else youll bring:

• Bachelors or mastersdegree in computer science Artificial Intelligence Information Technology Engineering or a related field or equivalent practical experience.
• 8 years of hands-on experience in AI/ML engineering machine learning platforms data engineering or AI infrastructure with experience in enterprise-scale environments such as manufacturing automotive or similarly complex industries.
• 3 years of experience leading or mentoring AI engineering ML engineering or platform engineering teams.
• Strong experience designing and deploying end-to-end AI solutions including machine learning generative AI and LLM-based applications.
• Proficiencyin Python SQL and modern AI/ML frameworks such asPyTorch TensorFlow Scikit-learnLangChain or equivalent platforms.
• Experience building scalable AI data pipelines supporting model training inference RAG architecture and intelligent automation workflows.
• Hands-onexpertisewith cloud AI and data services such as AWS SageMaker Glue Kinesis Firehose Azure ML Vertex AI or comparable platforms.
• Strong knowledge of structured unstructured streaming and time-series data architecture including experience with vector databases and embedding stores.
• Experience with enterprise data platforms andlakehousearchitecture such as Databricks Delta Lake or equivalent modern data ecosystems.
• Solid understanding of cloud-native storage and database platforms including RDS DynamoDB MongoDB CassandraDocumentDB Influx DB and AI-ready vector data systems.
• Experience architecting scalable AI infrastructure using Kubernetes Docker GPU-enabled environments distributedcomputeclusters and Infrastructure as Code tools such as Terraform.
• Proven ability to design train fine-tune deploy andmonitorscalable machine learning and generative AI models in production environments.
• Experience implementing MLOps / LLMOps practices including CI/CD pipelines model registries prompt versioning automated retraining and observability frameworks.
• Excellent problem-solving and troubleshooting skills with a proactive ownership mindset toward resolving complex technical challenges.
• Strong communication collaboration and leadership skills with the ability to influence cross-functional teams and guide architectural decisions while fostering a culture of engineering excellence.

What youll gain

The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting with an iconic brand at its foundation. In addition Scout provides competitive compensation and benefits to support your physical mental and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides select highlights:

• Competitive insurance including:
  • Medical dental vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement jury duty voting time or military leave

Pay Transparency

This is a full-time exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidates skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range $180000.00 - $220000.00

Internal leveling code: IC7

Notice to applicants:

• To be considered for career opportunities at Scout Motors applicants must be 18 years of age or older.
• Residing in San Francisco:Pursuant to the San Francisco Fair Chance Ordinance Scout Motors will consider for employment qualified applicants with arrest and conviction records.
• Residing inLos Angeles:Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• Residing inNew York City:This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer.Qualified applicants will receive consideration without regard to race color religion sex national origin age sexual orientation gender identity gender expression veteran status disability pregnancyor anyother characteristicsprotected by law.Scout Motors is committed to compliance with allapplicablefairemploymentpractice laws.If you require reasonable accommodation to complete a job application pre-employment testing or a job interview or to otherwise participate in the hiring process please contact