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Ai Rag Jobs in Detroit, MI (NOW HIRING)

Alliance Franchise Brands

AI Director

Plymouth, MI · On-site

The role requires practical understanding and application of generative AI, RAG, grounding, cognitive search, AI-assisted workflows, and responsible data use. Essential functions * Develop and ...

Alliance Franchise Brands

AI Director

Plymouth, MI · On-site

The role requires practical understanding and application of generative AI, RAG, grounding, cognitive search, AI-assisted workflows, and responsible data use. Essential functions * Develop and ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Exposure to Generative AI / RAG / LLM concepts * Experience in enterprise or automotive data platforms * Familiarity with Terramate or similar IaC orchestration tools * Cloud or DevOps certifications ...

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions. * Build APIs, microservices, and backend services supporting AI workloads. * Evaluate, benchmark ...

HARMAN International

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 ...

Miracle Software Systems, Inc.

Senior AI Engineer

Dearborn, MI · On-site

$112K - $148K/yr

Develop RAG pipelines using enterprise data, embeddings, vector search, semantic search, and grounding techniques. * Build AI agents, custom copilots, and workflow-based assistants for enterprise use ...

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 ...

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All JobsAi Rag JobsAi Rag Jobs in Detroit, MI

Ai Rag information

See Detroit, MI salary details

$31.7K

$57.7K

$82.7K

How much do ai rag jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai rag in Detroit, MI is $57,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $64,300.00 per year, depending on experience, location, and employer.

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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

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 Detroit, MI? For Ai Rag jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Detroit, MI look for? The top searched job categories for Ai Rag jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Ai Rag jobs? Cities near Detroit, MI with the most Ai Rag job openings:
Ai Rag jobs near you
AI Director

AI Director

Alliance Franchise Brands

Plymouth, MI • On-site

Full-time

Posted 15 days ago

Job description

Who We Are

Alliance Franchise Brands LLC is the franchisor of approximately 600 locations across North America operating the company’s brands: Allegra Marketing Print Mail, Image360, Signs Now, Signs By Tomorrow, KKP, Insty-Prints, American Speedy Printing Centers, and True Install.


Our independently owned and operated Franchise Members provide businesses and organizations with a one‑stop resource for technologically advanced solutions in printing, signage, marketing, and graphics communications.


Our Core Focus & Values

At Alliance Franchise Brands, our Core Focus and Core Values serve as the foundation for how we operate and who we are. They are embedded into our culture and guide how we support Franchise Members, collaborate internally, and deliver impact every day.


Core Focus

OUR PASSION: Empowering Success

OUR NICHE: High‑Impact Programs and Support


Core Values

  • Members First
  • Ethical & Trustworthy
  • Can‑Do, Results Driven
  • Respect Others
  • Passion for Being Great


The AI Director will lead practical AI adoption across the organization by identifying high-value use cases, piloting AI-enabled workflows, managing approved AI tools, supporting responsible use, and scaling solutions that deliver measurable business value.

This is a hands-on leadership role. The right candidate must be technically credible and willing to work directly with AI tools, business users, vendors, and technical teams. The role requires practical understanding and application of generative AI, RAG, grounding, cognitive search, AI-assisted workflows, and responsible data use.

Essential functions

  • Develop and maintain a 6-18 month living AI roadmap aligned with strategic priorities.
  • Maintain visibility into AI tool usage, token budgeting, adoption, risks and outcomes throughout the enterprise.
  • Work directly with Franchise Members, field teams, and leadership to identify practical and high-impact AI opportunities.
  • Focus on pragmatic use cases such as customer intake, estimating support, marketing assistance, knowledge retrieval, process coordination and customer communication.
  • Create playbooks, templates, training materials, and adoption plans that scale across proficiency stages.
  • Partner with corporate teams to identify and deploy AI solutions that improve internal efficiency, decision-making, and service delivery to franchisees.
  • Convert successful pilots into scalable, repeatable solutions with centralized support.
  • Support a network of AI champions across brands, departments, and Franchise Member groups.


Competencies

  • Strong empathy for small business concerns and the realities of running a local business.
  • Comfortable working in a test-and-learn/fail-fast environment with iteration and continuous improvement.
  • Experience with vendor evaluation, SaaS tools, cost tracking or technology budgeting.
  • Strong communication skills; able to translate technical concepts into clear, practical language.
  • Able to manage ambiguity, make recommendations, and move work forward.


Supervisory responsibilities

  • Coaches, mentors, and leads others to influence high performance.
  • Manage team including semi-annual performance reviews
  • Conduct team’s regular EOS meetings

Work environment

  • Professional corporate and team-oriented environment
  • Hybrid work schedule with at least 2 days each week in office

Physical demands

  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times
  • Standard business hours although some overtime may be required to meet deadlines or manage unexpected issues


Travel required

  • Minimal travel, less than 10%

Required education and experience

  • Bachelor’s degree in Business, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 7+ years of progressive experience in operations, technology, or a related field, and 2+ years of experience applying AI tools or solutions in a business setting.
  • Significant experience in operations, logistics, or multi-unit/franchise environments.
  • Experience in multi-model orchestration (SLM, LLM, Frontier).
  • Working knowledge of generative AI, agents, enterprise search, RAG, grounding, prompt design, automation, and responsible AI use.
  • Experience with Microsoft Copilot, Azure AI Foundry, Azure AI Search, Power Platform, Microsoft 365, Claude, ChatGPT, or similar AI tools.


Preferred education and experience

  • Experience integrating business systems such as CRM, MIS/ERP, and online platforms
  • Familiarity with data governance and data privacy principles.

Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.