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Llm Ml Rag Jobs in Wisconsin (NOW HIRING)

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Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database ... Expert knowledge of production GenAI (LLM providers, vector databases, and observability tools like ...

Rockwell Automation

AI Delivery Manager

Milwaukee, WI · Hybrid

... LLM) solutions. These solutions will deliver measurable value across supply chain operations. You ... Design, develop, and deploy GenAI and LLMbased solutions, including RAG pipelines, prompt ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents ... Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents ... Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply ...

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Llm Ml Rag information

What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What is an llm ml rag job?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.
What are popular job titles related to Llm Ml Rag jobs in Wisconsin? For Llm Ml Rag jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Llm Ml Rag jobs in Wisconsin look for? The top searched job categories for Llm Ml Rag jobs in Wisconsin are:
What cities in Wisconsin are hiring for Llm Ml Rag jobs? Cities in Wisconsin with the most Llm Ml Rag job openings:
Llm Ml Rag jobs near you

Manager, AI Engineering

Rockwell Automation

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

197th 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 thework 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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