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Ai Rag Jobs in Wisconsin (NOW HIRING)

$100K - $132K/yr

Design, implement, and maintain RAG (RetrievalAugmented Generation) pipelines using enterprise data ... Build and orchestrate agentic AI workflows for IT operations use cases, including: * Automated ...

$111K - $146K/yr

Design, implement, and maintain RAG (RetrievalAugmented Generation) pipelines using enterprise data ... Build and orchestrate agentic AI workflows for IT operations use cases, including: * Automated ...

Senior Product Director, Enterprise AI R&D

Waukesha, WI · On-site

$233K - $244K/yr

Expertise in AI/ML technologies including LLMs, RAG, validation methods, and responsible AI practices. * Strong understanding of regulated R&D processes, Design Controls, and Quality Management ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns. * Hands-on experience with CI/CD, Git, or cloud-native engineering practices. * Google ...

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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.

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.

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 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 June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution.
Technical Commerce & AI Consultant | Agentic Commerce

Technical Commerce & AI Consultant | Agentic Commerce

Accenture

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services


Job description

About Accenture Song - Customer Technology, Commerce

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology - Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.

We integrate commerce platforms, customer data, marketing technology, and AI-powered decisioning to transform how brands engage customers across channels. By embedding Generative AI and Agentic AI into commerce operations, we enable real-time personalization, autonomous merchandising, dynamic pricing, campaign orchestration, and revenue growth at scale.

WHAT'S IN IT FOR YOU?

  • Work at the forefront of Agentic Commerce and Generative AI, building next-generation intelligent commerce ecosystems.

  • Gain hands-on exposure to modern commerce platforms, composable architectures, CDPs, MarTech stacks, and AI orchestration frameworks.

  • Collaborate with Song teams across Commerce, Experience, Marketing, and Data.

  • Contribute to reusable accelerators and AI-driven commerce solution assets.

  • Develop deep technical expertise and client-facing consulting skills within high-impact transformation programs.

What You Would Do in This Role

As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks. You will take ownership of solution components, ensuring scalable, secure, and business-aligned deployments within customer technology ecosystems.

Agentic Commerce Solution Development

  • Design and implement Agentic AI systems enabling intelligent decision workflows across:

    • Personalization engines

    • Merchandising optimization

    • Campaign orchestration

    • Conversational commerce

    • Digital customer engagement platforms

  • Develop multi-agent architectures coordinating planners, retrievers, reasoning agents, predictive models, and optimization components.

  • Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints.

Data & Orchestration Engineering

  • Define and manage data, knowledge, and context pipelines to support effective agent reasoning.

  • Lead data preparation, integration, validation, and semantic modeling for commerce use cases.

  • Architect orchestration pipelines integrating:

    • Predictive models

    • LLM reasoning

    • Decision APIs

    • Enterprise tools and backend services

  • Ensure scalable integration within digital commerce platforms (e.g., Adobe Commerce, Salesforce Commerce, SAP CX, composable commerce architectures).

Cloud & Deployment

  • Leverage AWS, Azure, or GCP for scalable AI deployment and lifecycle management.

  • Develop modular services using FastAPI and deploy production-ready solutions using containerized and CI/CD-based environments.

  • Utilize Databricks for large-scale modeling workflows and AI experimentation.

  • Integrate vector databases, distributed knowledge systems, and in-memory state management (e.g., Redis) for context-aware agent workflows.

Responsible AI & Performance Optimization

  • Apply Responsible AI principles including:

    • Structured tool access

    • Context governance

    • Logging and traceability

    • Bias awareness

    • Drift detection

  • Implement LLM evaluation metrics, structured testing frameworks, and observability standards.

  • Continuously optimize multi-agent systems for scalability, reliability, and commercial impact.

Consulting & Client Engagement

  • Collaborate with cross-functional teams and clients to align AI implementations with business objectives.

  • Support development of client-ready presentations, demos, and value narratives.

  • Translate complex AI architectures into clear business outcomes and ROI impact.

  • Contribute to knowledge assets, reusable accelerators, and best practices.

  • Mentor junior analysts and support team capability development.

  • Travel: As required for client support up to 50%

  • Location: Primary residency within 90 minutes of an approved Accenture office

Who We Are Looking For

  • 4+ years of experience building scalable AI or data-driven systems, preferably within digital commerce, MarTech, or customer technology ecosystems. Experience should include:
    • Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions.
    • Experience working with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
    • Experience designing prompt flows, multi-agent orchestration pipelines, and schema-driven tool invocation (e.g., MCP or similar standards).
    • Experience integrating AI systems with enterprise APIs and backend commerce platforms.
    • Hands-on experience with FastAPI, AWS/Azure/GCP, and Databricks.
    • Experience working with vector databases and retrieval-augmented architectures.
    • Understanding of Responsible AI principles and production monitoring standards.
    • Working knowledge of cloud-native architectures, containerization, and CI/CD pipelines.
    • Strong communication skills with the ability to translate advanced AI concepts into business value.
    • Structured problem-solving skills and ability to build scalable, client-ready solutions.
    • Experience with designing of a semantic layer and knowledge graph

    • Experience with prompt engineering

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/23/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $196,000

Cleveland $59,100 to $156,800

Colorado $63,800 to $169,300

District of Columbia $68,000 to $180,300

Illinois $59,100 to $169,300

Maine $54,400 to $144,300

Maryland $63,800 to $169,300

Massachusetts $63,800 to $180,300

Minnesota $63,800 to $169,300

New York $66,300 to $196,000

New Jersey $68,000 to $196,000

Virginia $59,100 to $180,300

Washington $80,200 to $180,300

#LI-NA

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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