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Ai Rag Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

Senior AI Engineer

Middleton, WI

$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 ...

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 ...

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 ...

Software Engineer AI/ML

Waukesha, WI

$114K - $137K/yr

Design vector database architectures and semantic search capabilities to power RAG applications ... Ensure responsible AI practices including bias detection, explainability (SHAP, LIME), privacy ...

Hands-on experience with LangChain, LangSmith, RAG architectures, Vector databases, Prompt ... AI security, red-teaming, and LLM vulnerability assessment experience * Experience implementing AI ...

New

... RAG, workflows) in production or near-production environments. * Minimum of 1 year of experience ... Relevant AI certifications or agentic tooling experience are a plus. * You've served as an Agentic ...

Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge ... Deploy scalable AI microservices using containerization and cloud-native architectures. * Implement ...

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Showing results 1-20

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.

(Remote) AI Bid & Proposal Manager

Cayenta

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Cayenta, a division of Harris; is seeking an AI Bid & Proposal Manager who will sit at the centre of our bid strategy as we scale our go-to-market function.

Cayenta is a purpose-built utility software company within the Harris/Constellation Software portfolio, delivering CIS and ERP solutions to municipal utilities, co-ops, and IOUs across North America.

This is a high-impact individual contributor role responsible for owning the end-to-end RFP process - from intake and bid/no-bid assessment through to final submission. What makes this role distinct is that you will also architect and operate the AI-assisted proposal workflow: building and maintaining the answer corpus, tuning retrieval pipelines, and managing the human review loop that ensures every response is accurate, competitive, and on-brand.

You will work directly with Sales, Product, and Professional Services to translate Cayenta's capabilities into compelling, differentiated proposal narratives - and you will continuously improve the systems that make that work faster and better.

In your first 90 days, you will have mapped the current RFP process, taken ownership of at least one active submission, and documented the gaps the AI workflow needs to close. Within six months, the answer corpus is populated, the retrieval pipeline is operational, and SME review time per RFP has measurably decreased. Within a year, win rate trends are moving, the system is self-improving through corpus writeback, and proposal quality is a competitive advantage rather than a cost centre.

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 25%. Candidates must hold a current, valid passport and be legally eligible to travel internationally. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean.

Salary:

80K - 100K

Commission Up to 65K

Department:

Sales & Marketing

Reports To:

Director of Sales and Marketing

Employment Type:

Full-Time, Permanent

Location:

Remote (Canada preferred)

Level:

Individual Contributor


What your impact will be:

RFP Process Management

  • Own the full RFP lifecycle: intake, triage, bid/no-bid recommendation, coordination, and on-time submission
  • Maintain a proposal calendar and manage competing deadlines across an active pipeline
  • Facilitate bid/no-bid reviews with Sales and leadership, applying clear criteria to protect team capacity
  • Coordinate contributions from Subject Matter Experts (SMEs) across Product, Services, and Engineering
  • Ensure all submissions comply with RFP formatting, page limits, and mandatory requirements

AI-Augmented Proposal Workflow

  • Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting
  • Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale responses, and implementing corpus writeback from reviewed submissions
  • Tune hybrid BM25/embedding retrieval to improve answer relevance and reduce SME review burden
  • Manage the human review workflow: route AI-generated drafts to the right reviewers, track feedback, and close loops efficiently
  • Identify and implement AI agents and automation tools that reduce manual effort at each stage of the proposal process
  • Monitor proposal quality metrics and improve the system over time based on win/loss patterns

Content & Competitive Positioning

  • Develop and maintain reusable proposal content: company overviews, capability narratives, differentiator statements, and reference stories
  • Translate technical product capabilities into clear, buyer-focused language aligned to utility sector priorities
  • Incorporate competitive intelligence into proposal strategy, particularly in contested evaluations (e.g., SpryPoint, NISC, NorthStar)
  • Partner with Sales to ensure proposals reflect the pre-RFP relationship context and any known evaluation priorities

Reporting & Continuous Improvement

  • Track proposal activity, win rates, and cycle times; report to the Director of Sales and Marketing
  • Conduct post-submission reviews to capture lessons learned and improve future responses
  • Maintain documentation of the proposal process and AI workflow for onboarding and audit purposes

What we are looking for:

  • 3+ years of experience managing RFP or bid responses in a B2B software or technology environment
  • Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application
  • Strong writing skills: you can take technical inputs and produce clear, persuasive proposal prose
  • Exceptional organizational skills with the ability to manage multiple concurrent deadlines without dropping detail
  • Comfort working autonomously as an IC while coordinating across functions


What would make you stand out:

  • Experience in the utility software sector (CIS, ERP, AMI, MDM) or adjacent regulated industries
  • Familiarity with retrieval-augmented generation concepts, vector search, or BM25 hybrid retrieval
  • Experience with proposal automation tools (RFPIO, Loopio, Responsive, or similar) or willingness to build on custom tooling
  • Exposure to the Harris/Constellation Software portfolio operating model
  • Experience with Power Automate, Microsoft 365 ecosystem, or low-code automation

What we can offer:

  • 3 weeks' vacation and 5 personal days
  • Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
  • Employee stock ownership and RRSP/401k matching programs
  • Lifestyle rewards
  • Remote work and more!

About Cayenta:

Cayenta is a leading provider of enterprise resource management solutions in the local government, utility and financial industries. Cayenta's products, services and customer relationships provide the foundation for continued innovation and growth.

About Harris:

Harris is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment - both in the people and products that we offer and making investments in acquiring new businesses.

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