Applied AI Engineer

Inside the Role

The Engineering Quality, Safety and Compliance (EQSC) team at DTNA is at the heart of product integrity, design risk assessment, and data-driven quality improvement across vehicle development programs. EQSC works with design engineering, product validation, manufacturing, service, warranty, and cross-functional teams to improve how engineering quality work products are created, connected, governed, and used to support stronger design decisions. In this role, you will be a key contributor to the EQSC team with responsibility for improving data lifecycle practices and connecting design risk assessment with manufacturing and real-world field insights.

You will support short- and long-term quality improvement strategies, translate defined AI-enabled EQSC concepts into usable workflows, and help deploy practical data and process solutions through reliable, well-governed data models and agents. This role is highly collaborative and requires the ability to work across Vehicle Level Engineering, Product Engineering, Product Validation, Manufacturing, Service, Quality, IT, and business stakeholders. The role will help operationalize the AI-enabled strategy envisioned by the leadership team across EQSC by coordinating user feedback, adoption documentation, training support, configuration inputs, and implementation readiness while preserving engineering verification ownership within the expert teams.

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team Position offers a starting salary range of $71,000 to $91,000 USD Pay offered dependent on knowledge, skills, and experience Benefits include 401kcompany contribution with company match up to 8% as well as non-elective company contribution of3 - 7% depending on age;starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program;comprehensive healthcare plans and wellness programs;

onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-termand long-term disability plans.

• Support governed data pipelines, including Snowflake-enabled datasets, by helping prepare, clean, validate, and connect requirements, specifications, validation records, vehicle compliance inputs, defect investigations, manufacturing data, service data, warranty information, and field-quality insights.
• Assist with SQL queries, data models, metadata fields, and data-quality checks that improve traceability, reliability, and readiness for analytics and AI-assisted workflows.
• Contribute to AI-agent implementation by helping configure workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials under guidance from senior team members.
• Prepare approved standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for use in AI-assisted workflows and evaluation datasets.
• Help test, validate, and deploy AI-agent capabilities using approved enterprise platforms, Snowflake-enabled data assets, Microsoft 365 Copilot / Copilot Studio, APIs, and related tools.
• Capture data-quality issues, manual handoffs, duplicated steps, user pain points, pilot feedback, and improvement ideas in issue-tracking or backlog tools to support practical workflow improvements.
• Support analysis of connected engineering, compliance, investigation, manufacturing, service, warranty, and field data to help improve risk assessment, product-quality decisions, corrective-action follow-up, and…