Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Manager of Data Science
Hudson, WI · On-site
$140 - $210/hr
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Manager of Data Science
Hudson, WI · On-site
$140 - $210/hr
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Experience with RAG, retrieval-augmented generation, automation agents or workflow AI * Experience with low-code/no-code tools integrated with AI * Exposure to enterprise data governance, security ...
Experience with RAG, retrieval-augmented generation, automation agents or workflow AI * Experience with low-code/no-code tools integrated with AI * Exposure to enterprise data governance, security ...
WI · On-site
$205.20 - $360.80/hr
AI Architecture & Engineering** • Define scalable architectures for Agentic AI applications and intelligent workflow automation • Build Retrieval-Augmented Generation (RAG) solutions, knowledge ...
WI · On-site
$205.20 - $360.80/hr
AI Architecture & Engineering** • Define scalable architectures for Agentic AI applications and intelligent workflow automation • Build Retrieval-Augmented Generation (RAG) solutions, knowledge ...
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
WI · On-site
$93 - $185/hr
... retrieval-augmented generation (RAG) capabilities, and orchestration tools for building and deploying agentic workflows. We sit at the intersection of platform engineering and applied GenAI: we're ...
New
WI · On-site
$93 - $185/hr
... retrieval-augmented generation (RAG) capabilities, and orchestration tools for building and deploying agentic workflows. We sit at the intersection of platform engineering and applied GenAI: we're ...
New
Manager of Data Science
Hudson, WI · On-site
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Manager of Data Science
Hudson, WI · On-site
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Manager of Data Science
Hudson, WI · On-site
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
Manager of Data Science
Hudson, WI · On-site
Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows. * Establish and evolve ...
AI Security Architect
Madison, WI · On-site
$163.90 - $235.55/hr
Research AI models, AI application architectures, agentic workflows, retrieval-augmented generation, model orchestration, prompt engineering, model context protocols, and emerging AI security issues ...
New
AI Security Architect
Madison, WI · On-site
$163.90 - $235.55/hr
Research AI models, AI application architectures, agentic workflows, retrieval-augmented generation, model orchestration, prompt engineering, model context protocols, and emerging AI security issues ...
New
WI · On-site
$165 - $225/hr
Build custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems. * Predictive AI: Develop and deploy traditional ML models for use cases like forecasting, churn prediction, and fraud ...
New
WI · On-site
$165 - $225/hr
Build custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems. * Predictive AI: Develop and deploy traditional ML models for use cases like forecasting, churn prediction, and fraud ...
New
Sr. Solution Architect
Milwaukee, WI · On-site
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 ...
New
Sr. Solution Architect
Milwaukee, WI · On-site
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 ...
New
Senior Data Scientist
Milwaukee, WI · On-site
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · On-site
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · Hybrid
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · Hybrid
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · On-site
$120 - $160/hr
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · On-site
$120 - $160/hr
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · On-site
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Senior Data Scientist
Milwaukee, WI · On-site
Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products * Build evaluation frameworks to measure retrieval quality and factual ...
Google Data Specialist
Milwaukee, WI · On-site
$70K - $196K/yr
Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...
Google Data Specialist
Milwaukee, WI · On-site
$70K - $196K/yr
Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...
WI · On-site
$130 - $170/hr
Strong understanding of AI/ML, generative AI, agentic AI, large language models (LLMs), retrieval-augmented generation (RAG), and emerging AI architecture patterns highly preferred. * Strong ...
WI · On-site
$130 - $170/hr
Strong understanding of AI/ML, generative AI, agentic AI, large language models (LLMs), retrieval-augmented generation (RAG), and emerging AI architecture patterns highly preferred. * Strong ...
Developed and deployed AI/GenAI-powered applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embedding models, and prompt engineering techniques. * Designed and ...
Developed and deployed AI/GenAI-powered applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embedding models, and prompt engineering techniques. * Designed and ...
Senior Legal Counsel
$140K - $190K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
$140K - $190K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Data Scientist
$111K - $131K/yr
Knowledge of Retrieval-Augmented Generation (RAG) frameworks. * Experience with Azure AI, Azure OpenAI, AWS AI Services, or related cloud AI platforms. * Experience with MLOps and model lifecycle ...
Data Scientist
$111K - $131K/yr
Knowledge of Retrieval-Augmented Generation (RAG) frameworks. * Experience with Azure AI, Azure OpenAI, AWS AI Services, or related cloud AI platforms. * Experience with MLOps and model lifecycle ...
Retrieval Augmented Generation information
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Wisconsin?
The most popular types of Retrieval Augmented Generation jobs in Wisconsin are:
What are popular job titles related to Retrieval Augmented Generation jobs in Wisconsin?
For Retrieval Augmented Generation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Wisconsin look for?
The top searched job categories for Retrieval Augmented Generation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Retrieval Augmented Generation jobs?
Cities in Wisconsin with the most Retrieval Augmented Generation job openings:
Full-time
Medical, Dental, Vision, Retirement
Re-posted yesterday
CliftonLarsonAllen rating
7.0
Based on 29 frontline employees who took The Breakroom Quiz
21st of 23 rated bookkeepers and accountants
Job description
CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
CLA is looking to hire a Data Science Director to join our growing Internal IT team.
About the role:
CLA is looking to hire a Manger of Data Science
This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.
As Manager of Data Science, you will have to following responsibilities:
Leadership
- Provide daytoday leadership, coaching, development, and performance management.
- Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
- Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
- Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.
Technical Oversight
- Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
- Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
- Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
- Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
- Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
- Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
- Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.
Workflow Management
- Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
- Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
- Oversee planning, prioritization, and resourcing across projects and teams.
- Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
- Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
- Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
- Remove obstacles, manage risks, and ensure consistent execution across initiatives.
CrossFunctional Collaboration
- Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
- Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
- Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
- Communicate progress, risks, and results clearly to both technical and non technical audiences.
- Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
- Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.
What you will need:
8 years of relevant experience required.
- Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
- Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
- Supervisory experience required.
Education
Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
- Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
- Masters in a Data Science/Analytics/AI is a plus
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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here.
What CliftonLarsonAllen employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About CliftonLarsonAllen
Sourced by ZipRecruiter
CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.
Industry
Accounting services
Company size
5,001 - 10,000 Employees
Headquarters location
Minneapolis, MN, US
Year founded
2012