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Ai Rag Jobs in Michigan (NOW HIRING)

Harman International Industries

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements ... Implement responsible AI practices including guardrails, content filtering, access controls ...

Merican

AI Native Software Engineer

Detroit, MI · On-site

Retrieval (RAG) * Orchestration workflows * Tool/function invocation * Policy-based routing * Build ... Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models) * Build ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

The Principal AI Security Engineer leads and partners throughout the organization to build ... Leads security reviews of RAG and agentic systems, including chunking and retrieval policies ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

The Principal AI Security Engineer leads and partners throughout the organization to build ... Leads security reviews of RAG and agentic systems, including chunking and retrieval policies ...

E-Solutions

Technical Architect - AI

Pontiac, MI · On-site

$65.75 - $79.50/hr

Build and optimize RAG architectures, semantic search frameworks, embedding pipelines, and ... AWS AI & Cloud Architecture * Architect AI solutions using Amazon Bedrock, SageMaker, Amazon Q ...

New

FTE Factory Advisors

AI Systems Engineer

Detroit, MI · On-site

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

X by 2

Technical Lead (Applied AI)

Detroit, MI · On-site

Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG ... AI Evaluation & Production Readiness : defining evaluation methods, testing model behavior ...

FTE Factory Advisors

AI Systems Engineer

Detroit, MI · On-site

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

FTE Factory Advisors

AI Systems Engineer

Detroit, MI · On-site

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 are AI RAGs?

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 some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 Michigan? For Ai Rag jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Michigan look for? The top searched job categories for Ai Rag jobs in Michigan are:
What cities in Michigan are hiring for Ai Rag jobs? Cities in Michigan with the most Ai Rag job openings:
Ai Rag jobs near you
Senior Engineer, AI

Senior Engineer, AI

Harman International Industries

Novi, MI • On-site

$98K - $134K/yr

Full-time

Posted 21 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
As a Senior AI Engineer, you will help drive internal enterprise transformation through the design, development, and deployment of AI and Generative AI solutions that improve business processes and deliver measurable value across enterprise business applications and functions. This role is focused on building practical, production-ready capabilities that increase productivity, streamline workflows, and enable better decision-making across domains such as engineering, software, HR, legal, procurement, costing, and related business functions.
You will work hands-on across the full solution lifecycle-from problem definition and prototyping to evaluation, deployment, and ongoing optimization-while contributing to enterprise data and AI initiatives that leverage Microsoft Fabric, the broader Microsoft ecosystem, and other modern cloud and data platforms. The primary focus remains on Generative AI, LLMs, agentic workflows, retrieval-augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable adoption.
What You Will Do
  • Design, build, and deploy AI and Generative AI solutions that automate internal workflows and improve productivity across enterprise business applications and functions.
  • Deliver production-ready internal copilots, assistants, and workflow accelerators for use cases such as knowledge search, document summarization, conversational analytics, intelligent recommendations, and process automation.
  • Partner with stakeholders across engineering, software, HR, legal, procurement, costing, and similar functions to identify high-value opportunities and translate business needs into scalable AI solutions.
  • Build and support enterprise GenAI solutions using large language models, prompt engineering, agentic workflows, and RAG patterns over structured and unstructured enterprise data.
  • Contribute to enterprise data and AI initiatives using Microsoft Fabric and the broader Microsoft ecosystem, including Azure, Azure OpenAI, Power Platform, Copilot Studio, Microsoft 365, and other related platforms, while also working with complementary technologies already present in the environment.
  • Architect and develop scalable data and AI pipelines that support retrieval, orchestration, evaluation, monitoring, and secure access to enterprise information.
  • Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements documents, business rules, lessons learned, operational content, knowledge bases, and other unstructured sources.
  • Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to improve retrieval quality and user outcomes.
  • Develop agentic and tool-using workflows using frameworks such as LangChain, LlamaIndex, MCP, and related orchestration patterns.
  • Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes.
  • Implement responsible AI practices including guardrails, content filtering, access controls, auditability, and governance aligned to enterprise standards.
  • Contribute to production readiness through observability, monitoring, cost awareness, performance tuning, and reliable deployment practices.
  • Build solutions and integrations using modern application stacks such as Python, Node.js, APIs, and web frameworks, with the ability to collaborate across platform, data, and application teams.
  • Work closely with business, platform, testing, validation, and delivery teams in a fast-paced environment with strong communication, rapid iteration, and a process-excellence mindset.
What You Need To Be Successful
  • 6+ years of experience building production software, data, or AI solutions, including hands-on experience with machine learning systems and/or Generative AI applications.
  • Strong hands-on experience with Python and modern software engineering practices; working knowledge of Node.js and service-oriented application development is a plus.
  • Experience building GenAI and LLM-powered applications, including prompt engineering, RAG, evaluation, and agentic workflows.
  • Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow, or similar ecosystems.
  • Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Meta/Llama, Mistral, or similar services.
  • Experience with enterprise data platforms and storage technologies, including SQL and NoSQL databases, search technologies, vector databases, and modern lakehouse or warehouse platforms.
  • Working knowledge of Microsoft Fabric and the broader Microsoft ecosystem, including Azure services, Power Platform, Copilot Studio, Microsoft 365 integrations, and enterprise data environments.
  • Familiarity with cloud and data engineering concepts across Azure, AWS, GCP, Databricks, Docker, Kubernetes, CI/CD, orchestration, and modern data pipelines.
  • Ability to work across structured and unstructured enterprise data to support AI use cases in internal business environments.
  • Understanding of operational excellence for AI systems, including monitoring, debugging, performance optimization, governance, security, and responsible AI practices.
  • Strong communication skills, product mindset, stakeholder collaboration, and the ability to operate effectively in cross-functional enterprise transformation initiatives.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, Data Science, or equivalent professional experience.
What Makes You Eligible
  • Be willing to work in an office located in Novi, MI (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 (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#Hybrid
Salary Ranges:
$ 90,750 - $ 133,100
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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