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AI Agent Engineer

Scout MotorsCharlotte, North Carolina, United StatesQuality
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Salary
Not listed
Job type
Full-time
Posted
11 Jun 2026
Status
Open · checked 7d ago

About this role

The AI Agent Engineer position at Scout Motors in Charlotte, North Carolina, involves designing and deploying production-ready AI agents using Databricks and MLflow. This role suits an experienced engineer with a background in MLOps and artificial intelligence who wants to shape the future of transportation at an iconic automotive brand.

Role Overview

Scout Motors seeks an AI Agent Engineer to join the Quality department at the corporate headquarters in Charlotte, North Carolina. This position requires working 4 to 5 days per week in the office, with regular in-person meetings and occasional travel for company events. The professional in this role will own the full lifecycle of AI agents from prototyping to production, ensuring robust evaluation frameworks and continuous quality improvements for electric SUVs and trucks.

Key Responsibilities

Design, develop, and deploy AI agents on Databricks while overseeing versioning, monitoring, and maintenance.
Build and maintain evaluation frameworks utilizing MLflow to assess agent quality regarding correctness, safety, and business needs.
Drive continuous quality improvements through offline evaluation pipelines and online production monitoring with MLflow tracing.
Collect and incorporate human feedback from engineering, quality, and business stakeholders into agent improvement cycles.
Collaborate with data engineers, IT, and R&D to define data configurations and pipelines feeding reliable inputs into AI agents.
Combine multiple data sources, including connected vehicle data, to build agents that identify trends, anomalies, and quality signals.
Surface agent outputs and quality insights to business stakeholders via dashboards and visual reporting tools.
Identify and resolve data quality gaps by creating clean, consistent inputs through automated checks.

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.
At least 4 years of professional experience in MLOps, AI/ML engineering, or data engineering within production environments.
Demonstrated experience designing and executing evaluation workflows for non-deterministic AI systems, including offline and online strategies.
Solid understanding of LLM concepts related to agent quality, such as hallucination, grounding, retrieval quality, tool use reliability, and safety.
Applicants must be 18 years of age or older to be considered for employment.

Nice to Have

Experience with BI tools like Sigma or PowerBI.
Background in building RAG pipelines incorporating vector store integration, embedding models, and chunking strategies.
Familiarity with Streamlit or Gradio for lightweight internal tooling.
Knowledge of responsible AI and AI governance frameworks.

Skills and Tools

Python
SQL
Databricks and Mosaic AI / Databricks Agent Framework
MLflow for tracking, model registry, deployments, evaluation, and tracing
Agent development frameworks including LangChain, LlamaIndex, or AutoGen
Cloud-based storage systems such as Delta Lake and Unity Catalog
CI/CD practices for machine learning systems

Salary and Benefits

Initial base salary range of $95,000.00 to $140,000.00, supplemented by an annual performance bonus program.
Comprehensive insurance coverage including medical, dental, vision, and income protection plans.
401(k) program featuring an employer match and immediate vesting.
Generous paid time off comprising 20 planned PTO days, 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.
Paid leave for circumstances including bereavement, jury duty, voting time, and military leave.

About the Company

Scout Motors carries forward the legacy of an iconic American vehicle brand originally dating back to 1960. The company electrifies, digitizes, and modernizes rugged SUVs and trucks while offering both all-electric powertrains and the Harvester range extender powertrain. Scout Motors empowers inclusive, entrepreneurial teams to innovate, collaborate, and drive change in the transportation industry.

How to Apply

Interested candidates should visit the official Scout Motors careers page to submit an application and review additional employment details.

Skills and tech stack

PythonSQLLLMLangChainRAGMLOps

Questions candidates ask

Where is the AI Agent Engineer role located?

This position is based out of the Scout Motors corporate headquarters in Charlotte, North Carolina. It requires working 4 to 5 days per week in the office and occasional travel for company events.

What are the core technical requirements for this role?

Candidates need a bachelor's degree in a relevant field or equivalent experience, at least 4 years of production experience in MLOps, AI/ML engineering, or data engineering, and expertise in evaluation workflows and LLM concepts.

What is the salary range for the AI Agent Engineer position?

The initial base salary range is $95,000.00 to $140,000.00, with eligibility for an annual performance bonus program. Final salary offers depend on factors such as skills and experience.

What tools and technologies will I use on the job?

You will use Python, SQL, Databricks, MLflow, Delta Lake, Unity Catalog, and agent frameworks like LangChain, LlamaIndex, or AutoGen.

What benefits does Scout Motors offer?

Scout Motors provides competitive medical, dental, vision, and income protection insurance, a 401(k) with an employer match, generous paid time off, up to 16 weeks of paid parental leave, and other specialized leave options.

Ready to apply?

The application is on the official Scout Motors careers page.

Apply on company site