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 ...
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 ...
Applied AI Health System Engineer - Senior Manager
$124K - $280K/yr
... RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate ...
Applied AI Health System Engineer - Senior Manager
$124K - $280K/yr
... RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate ...
Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol ... including RAG architectures, prompt engineering, embeddings, finetuning, evaluation and ...
Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol ... including RAG architectures, prompt engineering, embeddings, finetuning, evaluation and ...
Working knowledge of AI/ML and GenAI concepts (LLMs, prompt patterns, RAG, MLOps) and modern data ... platforms (cloud, pipelines) * Strong technical fluency: comfortable challenging assumptions ...
Working knowledge of AI/ML and GenAI concepts (LLMs, prompt patterns, RAG, MLOps) and modern data ... platforms (cloud, pipelines) * Strong technical fluency: comfortable challenging assumptions ...
Software Developer
Madison, 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 ...
Software Developer
Madison, 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 ...
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 ...
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 ...
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 ...
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 ...
Sr. Software Engineer
Glendale, WI · On-site
$85K - $127K/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 ...
Sr. Software Engineer
Glendale, WI · On-site
$85K - $127K/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 ...
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 ...
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 ...
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 ...
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 ...
... AI P&C Insurance Operations Solutions Architect, Manager, you will specialize in consulting ... and RAG / GraphRAG, and treating evaluation as a discipline through guardrails, eval suites, and ...
... AI P&C Insurance Operations Solutions Architect, Manager, you will specialize in consulting ... and RAG / GraphRAG, and treating evaluation as a discipline through guardrails, eval suites, and ...
Senior Fullstack Engineer, Solve
Madison, WI · On-site
$123K - $162K/yr
... AI-powered conversation engine that resolves customer issues across channels. You'll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished ...
Senior Fullstack Engineer, Solve
Madison, WI · On-site
$123K - $162K/yr
... AI-powered conversation engine that resolves customer issues across channels. You'll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished ...
Senior Fullstack Engineer, Solve
$123K - $162K/yr
... AI-powered conversation engine that resolves customer issues across channels. You'll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished ...
Senior Fullstack Engineer, Solve
$123K - $162K/yr
... AI-powered conversation engine that resolves customer issues across channels. You'll deliver end-to-end features spanning LLM integrations, RAG retrieval, workflow orchestration, and polished ...
Senior Backend Engineer, Connectors & Discover
$123K - $162K/yr
We're accelerating that ambition by building products rooted in AI, automation, and intelligent ... Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.
Senior Backend Engineer, Connectors & Discover
$123K - $162K/yr
We're accelerating that ambition by building products rooted in AI, automation, and intelligent ... Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.
Senior Backend Engineer, Connectors & Discover
Madison, WI · On-site
$123K - $162K/yr
We're accelerating that ambition by building products rooted in AI, automation, and intelligent ... Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.
Senior Backend Engineer, Connectors & Discover
Madison, WI · On-site
$123K - $162K/yr
We're accelerating that ambition by building products rooted in AI, automation, and intelligent ... Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.
Senior Technical Consultant
Madison, WI · On-site
You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of ...
Senior Technical Consultant
Madison, WI · On-site
You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of ...
Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
Stevens Point, WI · On-site
$98K - $211K/yr
Experience with modern ML approaches such as embeddings, transformers, semantic retrieval, RAG ... Constant learner mentality who stays current with new and evolving AI technologies via formal ...
Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
Stevens Point, WI · On-site
$98K - $211K/yr
Experience with modern ML approaches such as embeddings, transformers, semantic retrieval, RAG ... Constant learner mentality who stays current with new and evolving AI technologies via formal ...
Senior Legal Counsel
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Madison, WI · On-site
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Madison, WI · On-site
$140K - $190K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
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?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
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:
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
60th 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
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