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Ai Rag Jobs in Milwaukee, WI (NOW HIRING)

Husch Blackwell Llp

Software Developer

Milwaukee, WI · On-site +1

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

Johnson Controls

Sr. Software Engineer

Glendale, WI · On-site

$114K - $150K/yr

This Senior AI/ML Engineer role sits at the center of that transformation. You will do two things ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

Johnson Controls

Sr. Software Engineer

Glendale, WI · On-site

$114K - $150K/yr

This Senior AI/ML Engineer role sits at the center of that transformation. You will do two things ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Milwaukee, WI · On-site

$101K - $133K/yr

... AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion ...

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All JobsAi Rag JobsAi Rag Jobs in Milwaukee, WI

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 Jul 19, 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 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 job categories do people searching Ai Rag jobs in Milwaukee, WI look for? The top searched job categories for Ai Rag jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Ai Rag jobs? Cities near Milwaukee, WI with the most Ai Rag job openings:
Ai Rag jobs near you
CCaaS x AI, Manager, Functional Transformation

CCaaS x AI, Manager, Functional Transformation

Deloitte

Milwaukee, WI • On-site

Other

Posted 24 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

CCaaS x AI Manager, Functional Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a functional Manager you will help clients modernize and transform their contact centers using CCaaS and Generative AI-anchored on AWS (for example, Amazon Connect, Amazon Lex, and Amazon Bedrock) and informed by cross-platform capabilities. This role is for a leader who can work effectively across business and technical stakeholders, shape scalable solution approaches, and lead delivery teams through the full lifecycle-from strategy and architecture through build, launch, and adoption.

  • Lead AI-enabled contact center transformation workstreams and engagements, translating servicing objectives into solution roadmaps, architecture decisions, and measurable business outcomes.
  • Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation, governance, and safety controls.
  • Partner with clients to define future-state service experiences, operating models, and technology architectures across contact center modernization initiatives.
  • Support business development efforts where Contact Center AI is a core component by contributing to scope, estimates, solution storylines, workshops, and executive-level discussions.
  • Lead teams in the design, build, test, and deployment of cloud-based contact center solutions, while mentoring practitioners and promoting delivery quality, technical rigor, and adoption at scale.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,000 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Functional Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a functional Manager you will help clients modernize and transform their contact centers using CCaaS and Generative AI-anchored on AWS (for example, Amazon Connect, Amazon Lex, and Amazon Bedrock) and informed by cross-platform capabilities. This role is for a leader who can work effectively across business and technical stakeholders, shape scalable solution approaches, and lead delivery teams through the full lifecycle-from strategy and architecture through build, launch, and adoption.

  • Lead AI-enabled contact center transformation workstreams and engagements, translating servicing objectives into solution roadmaps, architecture decisions, and measurable business outcomes.
  • Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation, governance, and safety controls.
  • Partner with clients to define future-state service experiences, operating models, and technology architectures across contact center modernization initiatives.
  • Support business development efforts where Contact Center AI is a core component by contributing to scope, estimates, solution storylines, workshops, and executive-level discussions.
  • Lead teams in the design, build, test, and deployment of cloud-based contact center solutions, while mentoring practitioners and promoting delivery quality, technical rigor, and adoption at scale.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,000 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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