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

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 ...

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 ...

Ford Motor Company

AI Software Engineer

Dearborn, MI · On-site

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... Implement advanced RAG pipelines (re-ranking, query transformation, and embedding optimization) to ...

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 ...

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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 Jul 17, 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, 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 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 July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,612 per year, or $25.8 per hour.
Sr. AI Product & Project Manager (Gen AI, LLM, RAG & Agentic AI) - Only on W2

Sr. AI Product & Project Manager (Gen AI, LLM, RAG & Agentic AI) - Only on W2

Miracle Software Systems, Inc.

Dearborn, MI • On-site

$116K - $153K/yr

Other

Posted 27 days ago

Job description

Miracle Software Systems, Inc. is looking for "Sr. AI Product & Project Manager (Gen AI, LLM, RAG & Agentic AI)" for long term Contract/Fulltime position available with following Job description.

Position Description:
We are seeking an experienced AI Product Manager with Project Management experience to lead the strategy, planning, and delivery of AI-powered products that enhance Sales and Service operations. The ideal candidate will define product vision, manage roadmaps, and collaborate with cross-functional teams to deliver scalable AI solutions leveraging LLMs, RAG, and Agentic AI.

Key Responsibilities:
Define and execute AI product vision, strategy, and roadmap aligned with business goals.
Lead cross-functional teams, including engineering, AI/ML, UX, and business stakeholders, to deliver AI-powered products.
Manage product backlog, prioritize features, create user stories, PRDs, and acceptance criteria.
Drive Agile product delivery, sprint planning, MVP releases, and continuous product improvements.
Collaborate with stakeholders to translate business needs into scalable AI solutions.
Apply knowledge of Generative AI, LLMs, RAG, and Agentic AI in product strategy and development.
Define product KPIs, monitor adoption, gather user feedback, and drive data-informed decisions.
Ensure solutions are scalable, secure, and aligned with enterprise architecture.
Manage project timelines, scope, risks, dependencies, resource planning, and stakeholder communications to ensure successful project delivery.
Coordinate cross-functional project execution and provide regular status updates to leadership.

Required Qualifications:
5+ years of Product Management experience defining product vision, strategy, roadmaps, and managing Agile backlogs.
3+ years of Project Management experience leading enterprise software or AI/ML initiatives.
Experience delivering AI/ML or Generative AI products to production.
Strong understanding of LLMs, RAG, Agentic AI, and modern AI architectures.
Experience with Agile (Scrum/Kanban), Lean Startup, user story mapping, and product discovery.
Excellent leadership, stakeholder management, communication, and decision-making skills.
Experience collaborating with engineering, design, and business teams in an Agile environment.

Education Required:
Bachelor's Degree

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Miracle Software Systems, Inc. is Premier Partner of IBM and a National Implementation Partner of SAP since 1998.WE have been in business for the last 30 years specializing on SAP Implementations, SOA / EAI / B2B Technologies. We are also a reseller of IBM Software Products. We are a Global Systems Integrator with Presence in 5 Countries. We also have a Large Offshore Facility located in India. We specialize on BPM tools like IBM Lombardi / BPM7.5 and also have a large Sterling Commerce Practice. We also have a large E-Commerce Practice based on IBM Portals / WebSphere Commerce Server. Miracle B2B Practice has been built on WTX / Gentran / Data Power / WPG / Trading Manager / Sterling GIS and other leading Products in the Market. We are based out of Novi, Michigan.


Thanks & Regards,

Praveen Cheedi
Sr. HCM Executive
Miracle Software Systems, Inc.45625
Grand River AvenueNovi MI(48374) USA

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