Lead workstreams for AI-enabled contact center transformation initiatives, helping clients ... Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation ...
Lead workstreams for AI-enabled contact center transformation initiatives, helping clients ... Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation ...
Comfort with prompt engineering, RAG pipelines, or AI agent frameworks is a strong plus * Familiarity with Git, basic CI/CD practices, and collaborative development workflows * Strong problem-solving ...
Comfort with prompt engineering, RAG pipelines, or AI agent frameworks is a strong plus * Familiarity with Git, basic CI/CD practices, and collaborative development workflows * Strong problem-solving ...
Strong expertise in Python and AIML frameworks Hands-on experience with Generative AI and LLMs (Azure OpenAI, prompt engineering, RAG) Experience in Intelligent Automation RPA tools Strong knowledge ...
New
Strong expertise in Python and AIML frameworks Hands-on experience with Generative AI and LLMs (Azure OpenAI, prompt engineering, RAG) Experience in Intelligent Automation RPA tools Strong knowledge ...
New
Applied AI Health Data System Engineer-Senior Manager
$109.40K - $131.40K/yr
You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...
Applied AI Health Data System Engineer-Senior Manager
$109.40K - $131.40K/yr
You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...
Data Engineer (AI)
$135K - $155K/yr
... RAG) systems. Responsibilities: * Responsible for the design, deployment, and maintenance of the business's data and AI platforms * Own architectural processes and decisions for various data models ...
Data Engineer (AI)
$135K - $155K/yr
... RAG) systems. Responsibilities: * Responsible for the design, deployment, and maintenance of the business's data and AI platforms * Own architectural processes and decisions for various data models ...
Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can ... Experience building RAG-based systems, vector databases, and semantic search architectures.
Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can ... Experience building RAG-based systems, vector databases, and semantic search architectures.
AI Data Engineer - Manager
$109.40K - $131.40K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... as RAG, embeddings, vector search, and governed access to structured and unstructured data. You ...
AI Data Engineer - Manager
$109.40K - $131.40K/yr
AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... as RAG, embeddings, vector search, and governed access to structured and unstructured data. You ...
Lead AI and Data Science Engineer - Manager
Indianapolis, IN · On-site
$98K - $129K/yr
Lead AI and Data Science Engineer - Manager Position Summary Our Human Capital practice is at the ... as RAG, embeddings, vector search, and governed access to structured and unstructured data. You ...
Lead AI and Data Science Engineer - Manager
Indianapolis, IN · On-site
$98K - $129K/yr
Lead AI and Data Science Engineer - Manager Position Summary Our Human Capital practice is at the ... as RAG, embeddings, vector search, and governed access to structured and unstructured data. You ...
Senior Software Engineer, AI
Francisco, IN · Remote
$160K - $220K/yr
Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization. * 5+ years of experience in ...
Senior Software Engineer, AI
Francisco, IN · Remote
$160K - $220K/yr
Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization. * 5+ years of experience in ...
In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) multi-agent orchestration, real-time AI task pipelines, and ...
In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) multi-agent orchestration, real-time AI task pipelines, and ...
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls ... optimizing RAG systems end to end, including indexing, retrieval, reranking, grounding, and ...
Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls ... optimizing RAG systems end to end, including indexing, retrieval, reranking, grounding, and ...
In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and ...
In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and ...
Data Scientist
Indianapolis, IN · On-site
Building and evaluating NLP and generative AI solutions - leveraging LLMs, RAG architectures, text extraction, entity recognition, and document summarization to automate regulatory authoring ...
Data Scientist
Indianapolis, IN · On-site
Building and evaluating NLP and generative AI solutions - leveraging LLMs, RAG architectures, text extraction, entity recognition, and document summarization to automate regulatory authoring ...
We are seeking an AI Governance and Privacy Specialist who can operationalize responsible AI in ... RAG vs. fine-tuning vs. tool use, data dependencies, integration patterns). * Software development ...
We are seeking an AI Governance and Privacy Specialist who can operationalize responsible AI in ... RAG vs. fine-tuning vs. tool use, data dependencies, integration patterns). * Software development ...
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 ...
Contact Center AI & CCaaS, Technical Manager
Indianapolis, IN · On-site
$110.90K - $111.40K/yr
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 ...
Contact Center AI & CCaaS, Technical Manager
Indianapolis, IN · On-site
$110.90K - $111.40K/yr
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 ...
... 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 ...
... 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 ...
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval ...
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval ...
The Position We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team ... Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration ...
The Position We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team ... Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration ...
Design AI/ML systems including: * RAG (Retrieval-Augmented Generation) * Vector databases * Azure OpenAI ecosystem * Azure AI services * Establish MLOps frameworks and model lifecycle pipelines
New
Design AI/ML systems including: * RAG (Retrieval-Augmented Generation) * Vector databases * Azure OpenAI ecosystem * Azure AI services * Establish MLOps frameworks and model lifecycle pipelines
New
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 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 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 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.
What are popular job titles related to Ai Rag jobs in Indiana? For Ai Rag jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Indiana look for? The top searched job categories for Ai Rag jobs in Indiana are:
What cities in Indiana are hiring for Ai Rag jobs? Cities in Indiana with the most Ai Rag job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
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 May 31, 2026.
Work You'll Do
As a 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 across business and technical stakeholders, translate servicing objectives into practical solution designs, and lead teams through delivery - from requirements and design through build, testing, launch, and adoption.
- Lead workstreams for AI-enabled contact center transformation initiatives, helping clients translate customer service goals into business requirements, solution designs, and measurable outcomes.
- Support the design and delivery of 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 client stakeholders to define future-state service experiences, operating processes, and supporting technology capabilities across contact center modernization efforts.
- Serve as a bridge between business, operations, product, and engineering teams to shape requirements, prioritize features, and drive implementation decisions.
- Manage teams in the design, build, test, and deployment of cloud-based contact center solutions, while promoting quality, delivery discipline, and adoption.
- Contribute to business development and proposal efforts where Contact Center AI is a key component by supporting scope definition, estimates, solution storylines, client workshops, and demos.
- Mentor junior practitioners and help build team capability across contact center platforms, GenAI use cases, and delivery best practices.
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.
- 2+ years of project experience supporting the design, build, and implementation of cloud-based solutions on AWS.
- Experience working across both business and technical stakeholders to gather requirements, define use cases, and support solution delivery.
- Experience with contact center transformation, customer service operations, and/or digital servicing solutions.
- Bachelor's Degree in Computer Science, Engineering, Information Systems, Business, 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:
- Hands-on or delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock.
- Experience supporting Contact Center AI use cases end-to-end, from requirements and design through testing, deployment, and adoption.
- Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation, and safety/governance controls.
- Experience with enterprise cloud controls such as IAM, VPC/networking, secrets management, and observability/monitoring.
- Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including awareness of platform trade-offs and integration considerations.
- Experience working with contact center operations leaders on process improvement, change management, and KPI realization.
- Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other).
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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 $130,000 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: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 May 31, 2026.
Work You'll Do
As a 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 across business and technical stakeholders, translate servicing objectives into practical solution designs, and lead teams through delivery - from requirements and design through build, testing, launch, and adoption.
- Lead workstreams for AI-enabled contact center transformation initiatives, helping clients translate customer service goals into business requirements, solution designs, and measurable outcomes.
- Support the design and delivery of 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 client stakeholders to define future-state service experiences, operating processes, and supporting technology capabilities across contact center modernization efforts.
- Serve as a bridge between business, operations, product, and engineering teams to shape requirements, prioritize features, and drive implementation decisions.
- Manage teams in the design, build, test, and deployment of cloud-based contact center solutions, while promoting quality, delivery discipline, and adoption.
- Contribute to business development and proposal efforts where Contact Center AI is a key component by supporting scope definition, estimates, solution storylines, client workshops, and demos.
- Mentor junior practitioners and help build team capability across contact center platforms, GenAI use cases, and delivery best practices.
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.
- 2+ years of project experience supporting the design, build, and implementation of cloud-based solutions on AWS.
- Experience working across both business and technical stakeholders to gather requirements, define use cases, and support solution delivery.
- Experience with contact center transformation, customer service operations, and/or digital servicing solutions.
- Bachelor's Degree in Computer Science, Engineering, Information Systems, Business, 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:
- Hands-on or delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock.
- Experience supporting Contact Center AI use cases end-to-end, from requirements and design through testing, deployment, and adoption.
- Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation, and safety/governance controls.
- Experience with enterprise cloud controls such as IAM, VPC/networking, secrets management, and observability/monitoring.
- Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including awareness of platform trade-offs and integration considerations.
- Experience working with contact center operations leaders on process improvement, change management, and KPI realization.
- Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other).
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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 $130,000 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: