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Ai Rag Jobs in Milwaukee, WI (NOW HIRING)

Johnson Controls

AI Engineer

Glendale, WI · On-site

This AI/ML Engineer role sits at the center of that transformation. You will do two things in ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

This AI/ML Engineer role sits at the center of that transformation. You will do two things in ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

AllSTEM Connections

Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

Principal AI Systems Architect (Contract Engagement) Role Overview We are seeking a Principal AI ... Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database ...

Johnson Controls

Ai Engineer

Milwaukee, WI

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate ...

EUA

AI + Technology Specialist

Milwaukee, WI · On-site

Understanding of prompt engineering, retrieval-augmented generation (RAG), model grounding, and knowledge management concepts. * Experience integrating AI solutions with Microsoft 365, SharePoint ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

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Ai Rag information

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$31.5K

$57.4K

$82.3K

How much do ai rag jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai rag in Milwaukee, WI is $57,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $64,000.00 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 Milwaukee, WI? For Ai Rag jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Milwaukee, WI look for? The top searched job categories for Ai Rag jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Ai Rag jobs? Cities near Milwaukee, WI with the most Ai Rag job openings:
Ai Rag jobs near you

Manager, AI Engineering

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

196th of 487 rated machine equipment manufacturers

Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
Rockwell Automation is seeking a Manager, AI Engineering within the Integrated Supply Chain (ISC) AI Center of Excellence. This role will lead a team of AI Engineers responsible for architecting, building, deploying, and sustaining production-grade AI solutions across global supply chain operations.
The Manager, AI Engineering will own the technical engineering capability for ISC AI. This includes solution architecture, engineering standards, GenAI application development, reusable technical patterns, integration design, production reliability, and sustainment. This leader will work closely with AI Delivery, IT, Analytics, Cybersecurity, Data Governance, and business stakeholders to convert prioritized use cases into secure, scalable, maintainable AI solutions.
This position reports to the Senior Director, Digital Transformation and will work a hybrid schedule at our office in Milwaukee, WI.
Your Responsibilities:
  • AI Engineering Strategy & Architecture
    • Lead the ISC AI engineering function, including technical architecture, engineering standards, development practices, reusable patterns, and production support expectations.
    • Define solution approaches for GenAI applications, LLMs, RAG pipelines, prompt orchestration, agent-based workflows, document intelligence, knowledge assistants, and process automation.
    • Ensure AI solutions align with enterprise architecture, Azure AI platform standards, cybersecurity requirements, responsible AI expectations, and ISC data governance requirements.
  • Team Leadership & Engineering Capability
    • Lead, coach, and develop a team of AI Engineers responsible for building and supporting production-grade AI solutions across global supply chain use cases.
    • Establish engineering practices for code quality, documentation, version control, testing, prompt management, evaluation, deployment, monitoring, and support.
    • Build team capability in Python, APIs, Azure AI, LLM application development, RAG, vector databases, data integration, workflow automation, and enterprise software delivery.
  • Solution Development & Integration
    • Oversee the design and development of AI applications, including RAG-based assistants, agentic workflows, document processing, workflow automation, and AI-enabled business applications.
    • Guide model, framework, and tool selection based on accuracy, latency, cost, scalability, security, compliance, and maintainability.
    • Ensure AI solutions integrate with governed data sources, enterprise applications, Microsoft 365, SharePoint, Graph API, Power Platform, workflow tools, and internal supply chain systems where appropriate.
  • Production Reliability, MLOps & LLMOps
    • Establish CI/CD, automated testing, release management, telemetry, monitoring, incident response, and rollback practices for AI solutions deployed in production.
    • Define evaluation methods for LLM outputs, retrieval quality, prompt performance, model behavior, data quality, user feedback, and operational reliability.
    • Monitor production AI solutions for performance, cost, usage, failure modes, access issues, security risks, and continuous improvement opportunities.
  • Cross-Functional Technical Delivery
    • Partner with AI Delivery to assess technical feasibility, estimate engineering effort, sequence development work, and shape solution scope for prioritized use cases.
    • Coordinate with IT, Cybersecurity, Data Governance, Analytics, and platform teams to resolve architecture, data access, integration, infrastructure, and compliance dependencies.
    • Provide technical guidance on what should be custom-built, reused, automated, or handled through existing enterprise platforms.

The Essentials - You Will Have:
  • Bachelor's Degree or Equivalent Years of Relevant Work Experience.
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

The Preferred - You Might Also Have:
  • Typically requires a minimum of 5 years management experience.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent practical experience.
  • 10+ years of experience in software engineering, AI engineering, ML engineering, data engineering, cloud engineering, or related technical roles.
  • 5+ years of experience leading technical teams, engineering programs, or complex technology delivery in a matrixed enterprise environment.
  • Strong technical background in Python, APIs, cloud-native development, data integration, automation, and production software engineering.
  • Experience designing, deploying, and supporting AI, ML, GenAI, LLM, automation, or advanced analytics solutions in production environments.
  • Experience with DevOps, CI/CD, automated testing, monitoring, observability, versioning, release management, and operational support.
  • Ability to explain technical tradeoffs, risks, architecture decisions, and implementation options to technical and business stakeholders.
  • Experience building GenAI applications using RAG, vector databases, embeddings, prompt orchestration, agentic workflows, model evaluation, and retrieval quality testing.
  • Experience with Microsoft Azure AI services, Azure OpenAI, Azure DevOps, GitHub Actions, containerization, serverless architectures, APIs, and enterprise cloud deployment patterns.
  • Experience integrating AI solutions with Microsoft 365, SharePoint, Graph API, Power Platform, enterprise data platforms, workflow automation tools, and business applications.
  • Experience establishing reusable AI engineering frameworks, reference architectures, prompt/model evaluation methods, and production support models.
  • Experience in manufacturing, supply chain, procurement, planning, logistics, quality, operations, or industrial environments.
  • Familiarity with responsible AI, cybersecurity, identity and access management, data privacy, auditability, model risk, and enterprise AI governance.
  • Advanced degree or certifications in cloud, AI/ML, software engineering, cybersecurity, data engineering, architecture, or related fields.

What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
This position is part of a job family. Experience will be the determining factor for position level and compensation.
#LI-Hybrid
#LI-JF1
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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