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Ai Rag Jobs in Milwaukee, WI (NOW HIRING)

Define patterns for RAG, conversational AI, document intelligence, multimodal workflows and AI agents. * Establish approaches for model selection, evaluation, safety, grounding, cost and operational ...

Manager, AI Engineering

Milwaukee, WI ยท On-site

$140 - $190/hr

Define solution approaches for GenAI applications, LLMs, RAG pipelines, prompt orchestration, agent-based workflows, document intelligence, knowledge assistants, and process automation. * Ensure AI ...

Principal AI Engineer

Milwaukee, WI ยท 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 ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

AI Specialist

Brookfield, WI ยท Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

AI Specialist

Brookfield, WI ยท Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

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 ...

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Showing results 1-20

Ai Rag information

See Milwaukee, WI salary details

$31.5K

$57.4K

$82.3K

How much do ai rag jobs pay per year?

As of Aug 24, 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 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 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 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 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 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 cities near Milwaukee, WI are hiring for Ai Rag jobs?

Cities near Milwaukee, WI with the most Ai Rag job openings:

Sr. Solution Architect

Milwaukee, WI โ€ข On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

What we offer:
  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy
Job overview

Johnson Controls International is seeking an AI Solution Architect to design and govern enterprise AI solutions across generative AI, agentic AI, machine learning, RAG, enterprise search and intelligent automation. You will work with AI engineers, platform engineers, software teams, data scientists, product teams, cyber security, enterprise architecture and business stakeholders to turn AI opportunities into secure, scalable and supportable solutions.

How you will do itEnterprise AI solution architecture
  • Lead architecture and solution design for enterprise AI initiatives across business domains.
  • Translate business needs into end-to-end solution architectures, roadmaps and non-functional requirements.
  • Define reusable reference architectures, integration patterns and clear architecture decisions.
Generative AI and agentic solutions
  • Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores and approved enterprise APIs.
  • Define patterns for RAG, conversational AI, document intelligence, multimodal workflows and AI agents.
  • Establish approaches for model selection, evaluation, safety, grounding, cost and operational reliability.
Platform alignment and engineering collaboration
  • Align solutions with approved platform capabilities, deployment patterns, networking and operational controls.
  • Ensure AI traffic follows enterprise API management patterns for authentication, observability, throttling and cost allocation.
  • Partner with engineering teams on APIs, data flows, application boundaries, reviews and production readiness.
Security, governance and Responsible AI
  • Embed security, privacy, accessibility, compliance and Responsible AI requirements from the outset.
  • Define identity, RBAC, private networking, secrets, data protection, content safety and auditability patterns.
  • Document risks, assumptions, dependencies, mitigations and operational-readiness requirements.
Business engagement and technical leadership
  • Facilitate discovery and design workshops that turn ambiguous needs into phased delivery options.
  • Explain AI concepts, risks and trade-offs clearly to technical and non-technical stakeholders.
  • Provide technical leadership through reviews, mentoring and pragmatic architecture decisions.
Qualifications and experienceRequired experience
  • Bachelor's degree in a relevant discipline, or equivalent practical experience.
  • 8+ years in solution architecture, software engineering, cloud architecture or enterprise technology roles.
  • Proven experience designing and delivering production Azure solutions in complex enterprise environments.
  • Handsโ€‘on architecture experience with generative AI, LLMs, RAG, conversational AI, document intelligence or agent-based solutions.
  • Ability to guide solutions from discovery through design, delivery, governance approval and operational support.
Preferred qualifications
  • Experience with Microsoft Agent Framework, Semantic Kernel, LangGraph, LangChain or similar orchestration frameworks.
  • Experience with vector-capable data services such as Cosmos DB, Redis, PostgreSQL/pgvector or similar.
  • Familiarity with Terraform, Kubernetes, Azure Container Apps, AKS, Azure API Management and landingโ€‘zone patterns.
  • Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF or comparable certification preferred.
Technical ExpertiseAI Architecture
  • Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), enterprise search, document intelligence, evaluation, and AI safety.
Azure AI
  • Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and approved model endpoints.
Integration
  • REST APIs, Azure API Management, eventโ€‘driven architectures, messaging platforms, tool integration, and enterprise integration patterns.
Security
  • Microsoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking, secrets management, and secureโ€‘byโ€‘design principles.
Governance
  • Architectural decision records, Responsible AI, privacy, risk management, compliance, observability, and production readiness.
Leadership and ways of working
  • Strong systems thinking and judgement to balance innovation, speed, security, quality and maintainability.
  • Clear communication and ability to influence across technical, product and business teams.
  • Comfort facilitating workshops, resolving ambiguity and presenting options with trade-offs.
What success looks like

AI teams move from validated use case to production faster using clear, approved solution patterns. Solutions meet standards for security, privacy, Responsible AI, resilience, observability and supportability. Stakeholders understand decisions, risks, dependencies, tradeโ€‘offs and expected business outcomes.

HIRING SALARY RANGE: $100,000-$140,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package.

#LI-HYBRID

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, weโ€™ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the worldโ€™s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.

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