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Ai Rag Jobs in Wisconsin (NOW HIRING)

Lead the design and delivery of generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI platform architectures for enterprise clients. * Partner with client ...

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 ...

RAG-Applikationen) in Microsoft Azure Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen Einsatz und Integration von Model Context Protocols (MCPs) Aufnahme ...

Sr AI Application Developer

Milwaukee, WI · On-site

$94K - $130K/yr

Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases. * Build and orchestrate AI ...

Experience building RAG-based systems, vector databases, and semantic search architectures. * Demonstrated ability to lead large-scale AI initiatives and influence technical strategy. * Deep ...

Experience building RAG-based systems, vector databases, and semantic search architectures. * Demonstrated ability to lead large-scale AI initiatives and influence technical strategy. * Deep ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation. * Partner with business ...

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Ai Rag information

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 Wisconsin? For Ai Rag jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Wisconsin look for? The top searched job categories for Ai Rag jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Rag jobs? Cities in Wisconsin with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Wisconsin as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution.
Consulting Principal, AI Architect

Consulting Principal, AI Architect

Cognizant

Madison, WI • Remote

$122K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants


Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the role

As an Consulting Principal for AI & GenAI Platforms, you will make an impact by leading client-facing AI transformation initiatives focused on generative AI, retrieval-augmented generation (RAG), and advanced data and AI platform solutions within highly regulated environments. You will be a valued member of Cognizant Consulting’s AI and Data practice and work collaboratively with clients, consulting leaders, architects, and delivery teams to design and deliver scalable, production-grade AI solutions.

In this role, you will:
  • Lead the design and delivery of generative AI and agent-enabled solutions, including context engineering, RAG pipelines, and AI platform architectures for enterprise clients.
  • Partner with client stakeholders to translate business objectives into actionable AI use cases, solution roadmaps, and measurable outcomes.
  • Guide end-to-end solution delivery from discovery through implementation, ensuring AI systems are secure, compliant, and fit for regulated environments.
  • Collaborate with cross‑functional consulting and engineering teams to integrate AI solutions with enterprise data platforms, cloud infrastructure, and core systems.
  • Support business development activities by contributing to proposals, solutioning, statements of work, and client presentations related to AI and GenAI engagements.
Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered
  • 12+ years of experience across consulting, digital transformation, data engineering, or AI/analytics, with demonstrated experience delivering client‑facing consulting engagements.
  • Hands‑on experience designing and delivering generative AI solutions, including RAG architectures, vector databases, and modern AI platforms.
  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and enterprise data platforms such as Snowflake, Databricks, or Microsoft Fabric.
  • Proven ability to work directly with client stakeholders to define requirements, manage solution delivery, and communicate complex technical concepts clearly.
  • Experience operating within regulated industries such as financial services, healthcare, or insurance.
These will help you succeed
  • Familiarity with AI governance, evaluation frameworks, and responsible AI practices, including model risk, bias, and explainability considerations.
  • Experience contributing to consulting proposals, solution architectures, and go‑to‑market initiatives.
  • Exposure to MLOps or LLMOps practices, including CI/CD, monitoring, and model lifecycle management.
  • Strong collaboration skills and the ability to mentor junior consultants or technical team members.
  • Excellent communication and presentation skills, with the ability to engage both technical and non‑technical audiences.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Compensation

The annual base salary for this position is between $122,400 – $194,000, depending on experience and qualifications.

This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits
  • Medical, dental, vision, and life insurance
  • 401(k) plan and contributions
  • Employee stock purchase plan
  • Employee assistance program
  • Paid holidays plus paid time off (PTO)
  • Paid parental leave and fertility assistance
  • Learning and development programs and certifications

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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