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Ai Rag Jobs in Indiana (NOW HIRING)

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build MCP connectors and AI-powered document ingestion pipelines for SharePoint, OneDrive, Veeva, Jama, and other document sources. * Implement RAG (Retrieval-Augmented Generation) solutions using ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Exposure to AI/ML, Generative AI, RAG architectures, or vector databases. * Experience with Spark, Kafka, or Databricks. * SnowPro and/or AWS certifications. * Experience in financial services or ...

New

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business ...

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking ... RAG pipelines| and API development • Prior experience leading engineering teams in an Agile/Scrum ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to ... Applying AI to anomaly detection and market behavior analysis across electrical markets * Driving ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

Implement retrieval-augmented generation (RAG) pipelines using Delta Lake, Unity Catalog, and ... AI practices (guardrails, human-in-loop). * Monitor production agents for reliability, latency ...

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both ... RAG) architectures. * Map complex enterprise data schemas toidentifythe exact tables, fields, and ...

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool ...

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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?

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 is an AI RAG?

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 common challenges faced by AI RAG 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 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:
Infographic showing various Ai Rag job openings in Indiana as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Director, AI Enablement and Innovation

UKG (Ultimate Kronos Group)

Indianapolis, IN • On-site

$129.50 - $186.10/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


UKG rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

106th of 242 rated software companies


Job description

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the Role:

Lead innovation and knowledge strategy for CX (Customer Experience) Learning & Enablement by defining knowledge architecture, implementing AI and workflow intelligence solutions, and driving automation across the content lifecycle. Combine product, data and learning expertise to deliver modern, searchable, and integrated knowledge experiences that reduce friction for learners, support agents and partners.

Core Responsibilities:
  • Define and own the knowledge architecture and taxonomy strategy for CX learning and enablement content (including canonical content models, metadata standards, and governance).

  • Design and implement generative AI/RAG solutions, intelligent search, conversational assistants, and contextual learning surfaces that integrate with product workflows and frontline tools.

  • Own strategy and execution for content lifecycle automation and integrations (CMS LMS KM product docs translation pipelines), improving authoring, review, and publishing velocity.

  • Act as technical product owner for integrations and tooling (content APIs, search, knowledge base platforms, LLM infra), coordinate with Product Engineering and P&E for secure, scalable deployments.

  • Drive experimentation and pilot programs to validate AI/automation use cases (e.g., auto-summary, auto-tagging, content recommendations, test generation). Evaluate vendors and open-source approaches; manage POC lifecycle.

  • Implement measurement frameworks for knowledge efficacy: search success, answer relevance, RAG precision/recall, content reuse, time to publish, and impact on case deflection and support outcomes.

  • Build data governance practices for content/AI (bias, privacy, provenance, feedback loops).

  • Collaborate with Curriculum Development, Learning Business Partners, Adoption & Value, and Support to ensure innovation projects map to clear business outcomes.

Basic Qualifications:
  • 8+ years’ experience in knowledge management, product/technical program management, or AI/data product roles with at least 3+ years leading teams or programs.

  • Practical experience deploying enterprise AI/search/KM solutions (LLM/RAG, vector search, knowledge graphs, conversational AI) and implementing integrations between LMS/CMS/KM systems.

  • Strong technical literacy: APIs, data modeling, metadata/taxonomy design, and vendor evaluation for AI/KM tooling.

  • Experience working with engineering/product teams to bring technical solutions to production.

Preferred Qualifications:
  • Bachelor’s degree in technical field, information science, or equivalent experience.

  • Hands-on experience with LLMs, vector databases, RAG approaches, and tools

  • Experience in SaaS/HR tech or with support and digital adoption use cases.

  • Familiarity with content localization pipelines and enterprise taxonomy management.

  • Advanced degree in information science, AI, or related field.

Competencies:

Technical product leadership, innovation & experimentation, systems thinking, data-driven decision making, stakeholder influence across technical and non-technical partners, risk and governance orientation.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer:

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process:

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com .

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

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