Job description

Here at Scout Motors, we're 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, it’s 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 hasn’t 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 you're ready to drive change and make history, apply now! What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Install, configure, and maintain AI platform and tools. Design, deploy, and operate infrastructure supporting ML and LLM workloads. Build, containerize, and deploy AI services using Docker. Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment. Deploy and manage AI services across cloud and on-prem environments. Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices. Monitor system performance, reliability, and scalability of AI platforms. Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability. Perform regular security updates, patching, access control, and vulnerability remediation. Integrate AI tools with APIs, data platforms, and internal systems. Research, evaluate, and prototype new AI, LLM, and MLOps tools. Troubleshoot infrastructure, data, and deployment issues. Research, test, and prototype emerging AI technologies. Document system architecture, deployment processes, and operational runbooks. Location & Travel Expectations : This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC . This role requires 4-5 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 company from time to time. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in computer science, information technology, or related field or equivalent work experience. 8+ years Practical experience with LLM platforms, LLMOps, and MLOps. Experience deploying and maintaining AI or data platforms in production. Hands-on experience with AI/automation tools. Experience designing and orchestrating agentic automation workflows. Strong experience with Terraform and Infrastructure-as-Code. Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle). Expertise with cloud platforms such as AWS. Expertise with CI/CD tooling (GitHub Actions, GitLab CI). Strong Knowledge of Kubernetes and orchestration. Solid understanding of networking. Experience supporting high-availability, production AI systems. Scripting skills (Python, PySpark, Bash). Knowledge of security best practices, patch management, and access controls. Collaborate with engineering, data, and product teams to support AI initiatives. Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away. Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options. A teaching and coaching approach to guiding engineers and teams in approaches. Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc. What you'll 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 candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $140,000.00 - $170,000.00 Internal leveling code: IC8 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 in Los 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 in New 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, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all ap p licable fair employment p ractice 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 ScoutAccommodations@scoutmotors.com.

Requirements

Must-haves

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
Install, configure, and maintain AI platform and tools.
Design, deploy, and operate infrastructure supporting ML and LLM workloads.
Build, containerize, and deploy AI services using Docker.
Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
Deploy and manage AI services across cloud and on-prem environments.
Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
Monitor system performance, reliability, and scalability of AI platforms.
Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
Perform regular security updates, patching, access control, and vulnerability remediation.
Integrate AI tools with APIs, data platforms, and internal systems.
Research, evaluate, and prototype new AI, LLM, and MLOps tools.
Troubleshoot infrastructure, data, and deployment issues.
Research, test, and prototype emerging AI technologies.
Document system architecture, deployment processes, and operational runbooks.
This role requires 4-5 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 company from time to time.
What you’ll bring
Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
8+ years Practical experience with LLM platforms, LLMOps, and MLOps.
Experience deploying and maintaining AI or data platforms in production.
Hands-on experience with AI/automation tools.

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goaimlllmdockermachine learningci/cdawskubernetespython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave