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Ai Rag Jobs in Rochester Hills, MI (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Retrieval-Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise ...

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis). * Requirement Engineering: Experience in a product ...

Stellantis

Full Stack Engineer

Auburn Hills, MI

Exposure to Generative AI / RAG / LLM-enabled applications Our Benefits -- Designed with You in Mind Comprehensive Health & Well-being Coverage From your very first day, you'll have access to medical ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

Retrieval‑Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open‑source LLMs (e.g., OpenAI, Anthropic, Databricks, open‑source models) into ...

New

General Motors

AI Agent Engineer

Warren, MI · On-site +1

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ...

General Motors

AI Agent Engineer

Warren, MI · On-site

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ...

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All JobsAi Rag JobsAi Rag Jobs in Rochester Hills, MI

Ai Rag information

See Rochester Hills, MI salary details

$29.5K

$53.6K

$76.9K

How much do ai rag jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai rag in Rochester Hills, MI is $53,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $59,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Rochester Hills, MI? For Ai Rag jobs in Rochester Hills, MI, the most frequently searched job titles are:
What cities near Rochester Hills, MI are hiring for Ai Rag jobs? Cities near Rochester Hills, MI with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $53,612 per year, or $25.8 per hour.

Principal Engineer - Partner with Customers AI Solutions

Harman International Industries

Novi, MI • On-site

Full-time

Posted 14 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
The AI Developer will design, build, and support practical AI and Generative AI solutions for the Partner with Customer business context, helping commercial, sales, marketing, strategy, and portfolio teams work faster and make better decisions. This role turns customer-facing and opportunity-management workflows into secure, measurable AI-enabled products, including copilots, RAG-based search experiences, document summarization, workflow automation, analytics assistants, and intelligent recommendations.
The role is hands-on and delivery oriented. The AI Developer will work across enterprise data, Microsoft 365 collaboration content, Salesforce-based processes, low-code application platforms, and sales enablement platforms to create reliable solutions that save time, improve insight quality, and support consistent customer engagement.
Business Capability Focus
This role supports the capabilities needed to partner effectively with customers across the commercial lifecycle. Rather than owning a single internal application, the AI Developer will help create reusable AI patterns that can improve major customer-facing and commercial workflows.
  • Customer and account engagement: use CRM and collaboration data to improve account insight, customer follow-up, escalation awareness, and service-quality visibility.
  • Opportunity pursuit and pipeline support: help teams summarize opportunities, identify next actions, generate pursuit insights, and make customer-facing work more consistent.
  • RFx and proposal support: automate document intake, requirements extraction, summarization, comparison, response drafting, and knowledge reuse for RFI, RFQ, RFP, and business case activities.
  • Business case and financial decision support: build AI-assisted workflows for scenario analysis, assumptions review, risk surfacing, and decision-ready summaries.
  • Market intelligence: transform market, competitor, customer, and product information into searchable knowledge, executive summaries, and recommendation-ready insights.
  • Product and portfolio strategy: support solution positioning, portfolio planning, and strategic alignment by connecting customer needs with available products, platforms, and capabilities.
  • Sales and marketing enablement: improve discovery, creation, tagging, search, reuse, and personalization of customer-facing content.

What You Will Do
  • Build AI and Generative AI solutions that support customer engagement, RFx and business case development, opportunity analytics, market intelligence, strategic portfolio planning, and sales enablement.
  • Create production-ready copilots, RAG search experiences, document summarization workflows, recommendation services, and automation tools for Partner with Customer stakeholders.
  • Use Microsoft 365 content and services, including SharePoint and Microsoft Teams, as trusted collaboration and knowledge sources for AI-enabled workflows.
  • Apply Power Platform capabilities, including Power Apps, Microsoft Forms, and Power Automate, where they accelerate adoption, intake, approvals, and workflow orchestration.
  • Integrate with major enterprise platforms such as Salesforce, Microsoft 365, low-code application platforms, sales enablement/content platforms, REST or GraphQL APIs, and structured or unstructured datasets.
  • Design and implement retrieval pipelines over heterogeneous business content, including RFx materials, business cases, lessons learned, market intelligence, strategy documents, customer care inputs, CRM records, and sales enablement assets.
  • Select and tune embedding models, chunking strategies, vector search configurations, rerankers, prompt patterns, and routing policies to improve relevance and answer quality.
  • Develop agentic workflows and automation patterns using tools such as LangChain, LlamaIndex, MCP, and model orchestration frameworks where appropriate.
  • Translate subject-matter-expert knowledge into maintainable prompts, reusable workflows, evaluation sets, and application logic.
  • Implement guardrails, access controls, content policies, safety checks, evaluation metrics, observability, and cost controls suitable for enterprise use.
  • Containerize and deploy applications using modern cloud, API, CI/CD, and monitoring practices in partnership with platform and operations teams.
  • Collaborate closely with sales, marketing, strategy, product portfolio, customer care, requirements, testing, validation, and platform teams; communicate progress, risks, and trade-offs clearly.

What You Need To Be Successful
  • 8+ years of experience building production software, data products, automation solutions, or AI-enabled applications, including hands-on experience with LLMs or Generative AI.
  • Strong Python experience, preferably with FastAPI, Pandas, NumPy, Pydantic, Jinja2, and API development; working knowledge of Node.js or modern JavaScript is a plus.
  • Experience building AI applications using LLMs, embeddings, vector databases, RAG patterns, prompt engineering, model evaluation, and model-provider APIs.
  • Familiarity with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, Meta/Llama, Mistral, or similar model ecosystems.
  • Working knowledge of Microsoft 365 services such as SharePoint and Microsoft Teams, plus Power Platform concepts including Power Apps, Microsoft Forms, and Power Automate.
  • Experience integrating with enterprise systems such as Salesforce, Microsoft Graph, low-code platforms, content management platforms, sales enablement tools, workflow tools, REST APIs, GraphQL APIs, SQL databases, and search services.
  • Practical understanding of data storage and retrieval patterns, including SQL, NoSQL, Elasticsearch, and vector databases such as Pinecone, Weaviate, FAISS, Milvus, or pgvector.
  • Cloud and DevOps experience with AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, monitoring, and logging tools.
  • Ability to work with ambiguous business processes, messy enterprise data, and multiple stakeholder groups while producing clear, reliable, maintainable solutions.
  • Strong communication skills, product-oriented thinking, curiosity about commercial and customer-facing processes, and the ability to learn quickly in a dynamic environment.
  • BS, MS, or equivalent professional experience in Computer Science, Software Engineering, Data Science, Mathematics, Electrical Engineering, or a related field.

Preferred Experience
  • Experience supporting sales, commercial operations, marketing, customer care, market intelligence, product portfolio, or business case workflows.
  • Experience with Salesforce CRM or sales performance management processes.
  • Experience with low-code platforms such as Microsoft Power Platform or OutSystems.
  • Experience with sales enablement or content management platforms such as Showpad, Seismic, Highspot, or similar tools.
  • Experience creating reusable AI patterns, prompt libraries, evaluation datasets, or internal developer tools for enterprise adoption.
  • Experience measuring AI solution value through hours saved, quality improvements, adoption, user reach, latency, reliability, and cost efficiency.

What Makes You Eligible
  • Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment.

What We Offer
  • Access to employee discounts on world-class products, including JBL, HARMAN Kardon, AKG, and more.
  • Extensive training opportunities through HARMAN University.
  • Competitive wellness benefits.
  • Tuition reimbursement.
  • The Be Brilliant employee recognition and rewards program.
  • An inclusive and diverse work environment that fosters and encourages professional and personal development.

#Hybrid
Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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