Embed with business teams to deliver practical AI solutions, help employees use AI confidently, and build internal knowledge systems. Work under a senior AI lead while owning department engagements, training cohorts and the systems you build.
Full Time · MinCloud IT · AI Engineer I/II (Early Career) · Wixom, MI
Reports to: NA IT Director · FLSA Status: To be confirmed by HR
Requisition ID: Salary Range:
KEY RESPONSIBILITIES
- Embedded AI Delivery – 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, targeting working solutions in days where scope permits.
- Employee Training – Lead role-based sessions, office hours and workshops on Claude, ChatGPT/Codex and Copilot; develop department AI champions and support practical, responsible adoption.
- AI Enablement Hub – Maintain learning paths, tool guides, prompt libraries and a solutions showcase; keep resources current and track employee engagement and adoption.
- Knowledge Systems – Build and operate retrieval-augmented generation (RAG) pipelines over SharePoint, Teams, CRM systems and internal documents, including ingestion, chunking, embeddings and vector or hybrid search.
- Evaluation and Access – Evaluate retrieval relevance and answer quality, troubleshoot pipeline issues, and implement permission-aware retrieval that respects source access controls.
- Agentic AI Governance – 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.
- Solution Ownership – Document, monitor and maintain deployed solutions; coordinate testing, user feedback, support and escalation with business stakeholders and the senior AI lead.
- Outcome Measurement – Establish baselines and report hours saved, cycle-time improvements and adoption for every deployment; use results to prioritize improvements.
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; Azure experience is preferred.
- 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.
PREFERRED QUALIFICATIONS (A PLUS)
- 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.
MINIMUM EDUCATION / FIELD OF STUDY
- 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.
KEY TO BEING SUCCESSFUL IN THIS ROLE
- 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 escalate technical or governance risks promptly.
- 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.
PHYSICAL DEMANDS AND WORKING ENVIRONMENT
- Work performed primarily in an office setting in Wixom, Michigan, with on-site collaboration across business departments.
- Regular computer use for software development, data analysis, documentation and virtual meetings.
- Frequent communication with employees and stakeholders through individual coaching, group training and workshops.
- Responsibilities may include visits to manufacturing areas; follow site safety requirements and wear required personal protective equipment when applicable.
- Manage multiple department engagements, training activities and solution support priorities.
- Ability to perform the essential functions of this position, with or without reasonable accommodation.
WHY WORK FOR MINTH?
Join Minth’s North American team and help business departments put AI to work through practical solutions, accessible training and responsible implementation.
- Business impact – Build solutions that improve everyday workflows and deliver measurable results across departments.
- Collaborative team – Work with business partners, IT colleagues and a senior AI lead to turn ideas into useful tools.
- Professional development – Grow your skills in LLM applications, agentic AI, knowledge retrieval and employee enablement.
- Diverse working environment – Collaborate in a multicultural, multinational workplace that values different backgrounds and perspectives.
- Career opportunity – Develop your AI engineering career while contributing to Minth’s internal AI capabilities.
Minth North America, Inc. is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation and gender identity), national origin, age (40 and over), disability, genetic information, military or veteran status, or any other characteristic protected by federal, state or local law. Minth provides reasonable accommodations to qualified individuals with disabilities, for pregnancy, childbirth or related conditions, and for sincerely held religious beliefs, in the application process and in performing the essential functions of the job. To request an accommodation, please contact Human Resources.
Skills Required
- Hands-on LLM project experience through work, internships, coursework, or personal projects, including a demonstrable solution built with Codex, Claude, or a similar coding agent.
- Solid Python and SQL skills.
- Exposure to JavaScript or TypeScript, REST APIs, and a cloud platform.
- Experience building an end-to-end RAG prototype with content ingestion, retrieval, and response evaluation.
- Working understanding of agentic AI patterns, 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, including the NIST AI Risk Management Framework, data privacy, and access control.
- Strong communication, collaboration, and problem-solving skills.
- 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; alternatively, an associate degree or technical certificate plus at least two years of software, data, or IT experience.
- Azure experience.
- Manufacturing or automotive experience, including SAP or Microsoft Dynamics 365 exposure.
- Experience with vector databases, LLM evaluation tooling, Power Platform, or SharePoint development.
- Azure or AWS AI certification, or a public portfolio or GitHub repository demonstrating relevant projects.
MINTH GROUP Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MINTH GROUP and has not been reviewed or approved by MINTH GROUP.
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Fair & Transparent Compensation — Pay is considered competitive in some locations and roles, with starting wages described as reasonable for local markets. Feedback suggests compensation structures are viewed as solid for manufacturing settings when overtime opportunities are available.
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Healthcare Strength — Medical coverage is considered good by some employees and is highlighted as a stabilizing aspect of the package. Feedback suggests health insurance provisions meet or exceed expectations in certain roles or regions.
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Strong & Reliable Incentives — Opportunities for overtime are seen as reliable and meaningful to overall take-home pay. Feedback suggests bonuses and short-term incentives are available in some cases, complementing base pay.
MINTH GROUP Insights
What We Do
Minth Group stands as a global leader in the manufacturing of exterior and structural automotive parts. With a workforce of 27,367 employees distributed across four business units and 78 global plants and offices, our operations span four continents and 15 countries. We take immense pride in serving a diverse clientele, encompassing over 80 automobile brands from all over the world. Leveraging one of the world’s most comprehensive and diverse customer platforms, Minth has made significant investments in the electrification of the automotive industry, positioning itself as the world's largest supplier of battery enclosures and body structure components. At Minth Group, our commitment extends beyond business success to the creation of a sustainable society and future for all. We champion green innovations and increasingly adopt green energy in our operations. Concurrently, we are dedicated to providing high-performance, superior-quality automotive parts that adhere to the highest global standards, continually driving innovation within the automotive industry.
