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Ai Rag Jobs in Indiana (NOW HIRING)

Braunability

AI Data Architect

Winamac, IN

$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 ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool ... Ensure AI applications are reliable, auditable, and designed with responsible AI principles ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

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 ...

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

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

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how ... Hands-on experience working with prompt engineering - building Retrieval-Augmented Generations (RAG ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... RAG architecture, or similar emerging AI capabilities. • Strong expertise with platforms such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks, and OpenAI APIs. • ...

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

... RAG) architectures. • Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead. • Build ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit * Reducing knowledge silos, duplicated work, and dependency on tribal ...

Traction Ag Inc.

Principal AI Systems Engineer

Auburn, IN · On-site

$170K - $190K/yr

Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit * Reducing knowledge silos, duplicated work, and dependency on tribal ...

Deloitte

AI Solutions Architect - Healthcare

Indianapolis, IN · On-site

$60.25 - $79.25/hr

... RAG, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use ... Join our AI & Engineering team in transforming technology platforms, driving innovation, and ...

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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?

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 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:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Data Architect

AI Data Architect

Braunability

Winamac, IN

$58.75 - $75.50/hr

Full-time

Posted 26 days ago

BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

354th of 430 rated machine equipment manufacturers

Job description

Job Description:

Essential Functions:

  • Data Pipelining & Infrastructure

  • Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highlyaccurateRetrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead.

  • Build andmaintaindevelopment and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents onlyquery dataexplicitly authorizedforthe specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture developmentbegins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AIoutputsremainaccurateand safe for both office and factory floor operations.

  • Establish andmaintainService Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users areimpacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:

  • Deep technicalexpertiseworking with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strongproficiencyin building and securing API integrations between disparate cloud andon-premisessystems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC)atthe database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfortoperatingin a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

MinimumRequirements:

  • Bachelor's degree and minimum of6years of related work experiencerequired.

  • An equivalent combination of education and/or related work experience equal to10years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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