AI Engineer – Embedded Enablement & Agentic AI
About The Position
The AI Engineer embeds with business teams to deliver practical AI solutions, help employees use AI confidently, and build internal knowledge systems. Working under a senior AI lead, the engineer owns department engagements, training cohorts, and the systems they build. The role is based on-site in Wixom, Michigan, and reports to the NA IT Director. The engineer partners with departments to identify valuable workflows and rapidly build, test, deploy, document, monitor, and maintain AI solutions. They lead role-based training and support responsible AI adoption, maintain internal learning resources, and build retrieval-augmented generation systems over company information sources. The role also includes evaluating retrieval and answer quality, implementing access-aware retrieval, supporting agentic AI governance, and measuring business outcomes such as time saved, cycle-time improvements, and adoption. The position requires hands-on LLM project experience, Python and SQL skills, experience prototyping RAG systems, and the ability to communicate technical concepts to non-technical audiences. A master’s degree in a related field or an associate degree or technical certificate plus at least two years of relevant experience is required. Manufacturing or automotive experience and familiarity with relevant platforms and tools are preferred.
Requirements
- Hands-on LLM project experience through work, internships, coursework, or personal projects, including at least one demonstrable solution built with Codex, Claude, or a similar coding agent.
- Solid Python and SQL skills, with exposure to JavaScript/TypeScript, REST APIs, and a cloud platform.
- Experience building an end-to-end RAG prototype, including content ingestion, retrieval, and response evaluation.
- Working understanding of agentic AI patterns, including tool use, orchestration, and guardrails.
- Ability to explain technical concepts to non-technical audiences through teaching, tutoring, training, documentation, or user support.
- Awareness of responsible AI and governance concepts, such as the NIST AI Risk Management Framework, and basic data privacy and access control principles.
- Strong communication, collaboration, and problem-solving skills, with a practical focus on delivering useful solutions and learning from feedback.
- Willingness to work on-site with business teams in Wixom, Michigan.
- Master’s degree in Computer Science, Data Science, AI/ML, or a related field, completed by the start date; or an associate degree or technical certificate plus at least two years of software, data, or IT experience.
Nice To Haves
- Azure experience.
- Manufacturing or automotive experience, including exposure to SAP or Microsoft Dynamics 365.
- Experience with vector databases, LLM evaluation tooling, Power Platform, or SharePoint development.
- Azure or AWS AI certifications, or a public portfolio or GitHub repository demonstrating relevant projects.
Responsibilities
- Partner with business departments to identify high-value workflows and rapidly build, test, and deploy AI solutions using Codex, Claude Code, and the Claude API.
- Lead role-based sessions, office hours, and workshops on Claude, ChatGPT/Codex, and Copilot; develop department AI champions and support practical, responsible adoption.
- Maintain learning paths, tool guides, prompt libraries, and a solutions showcase; keep resources current and track employee engagement and adoption.
- Build and operate RAG pipelines over SharePoint, Teams, CRM systems, and internal documents, including ingestion, chunking, embeddings, and vector or hybrid search.
- Evaluate retrieval relevance and answer quality, troubleshoot pipeline issues, and implement permission-aware retrieval that respects source access controls.
- Help develop and apply agent registration, risk tiering, tool and data permissions, human-in-the-loop approvals, logging, and rollback procedures under senior technical guidance.
- Document, monitor, and maintain deployed solutions; coordinate testing, user feedback, support, and escalation with business stakeholders and the senior AI lead.
- Establish baselines and report hours saved, cycle-time improvements, and adoption for each deployment; use results to prioritize improvements.
- Translate business needs into clearly scoped AI solutions and deliver working results quickly with appropriate testing and review.
- Build trust with department stakeholders, manage engagements independently, and promptly escalate technical or governance risks.
- Teach employees in practical, accessible ways and help AI champions sustain adoption within their teams.
- Use measurable business outcomes and user feedback to improve solution quality, usability, and value.
- Apply sound judgment to sensitive information, permissions, and human oversight while collaborating with a multicultural team.
Benefits
- Professional development and opportunities to grow skills in LLM applications, agentic AI, knowledge retrieval, and employee enablement.
- Opportunity to build solutions with measurable business impact across departments.
- Collaborative work with business partners, IT colleagues, and a senior AI lead.
- Opportunity to develop an AI engineering career while contributing to Minth’s internal AI capabilities.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
