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Ai Application Developer Jobs in Indiana (NOW HIRING)

Elevance Health

AI Solutions Engineer Lead

Indianapolis, IN · Hybrid

$98K - $129K/yr

The AI Solutions Engineer Lead(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms.

Elevance Health

AI Solutions Engineer Lead

Indianapolis, IN · Hybrid

$97K - $129K/yr

The AI Solutions Engineer Lead(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms.

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

RevOne Companies

Software Developer

Greenwood, IN · On-site

... AI-assisted development practices. Position Summary The Software Developer will be responsible for ... Essential Duties of the Position Application Development * Design, develop, test, and maintain ...

The WellFund, LLC

Software Developer

Greenwood, IN · On-site

... AI-assisted development practices. Position Summary The Software Developer will be responsible for ... Troubleshoot and resolve application defects, performance issues, and production incidents.

RevOne Companies

Software Developer

Greenwood, IN · On-site

... AI-assisted development practices. Position Summary The Software Developer will be responsible for ... Troubleshoot and resolve application defects, performance issues, and production incidents.

Deloitte

Appian Engineer, Consultant

Indianapolis, IN

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Integrate Appian applications with enterprise data sources, application programming interfaces, and ...

Deloitte

Google AI Architect

Indianapolis, IN

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and ...

Varsity Tutors

Claude Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Skilled at teaching prompt crafting techniques, output analysis, and practical AI application using ...

Varsity Tutors

Claude Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Skilled at teaching prompt crafting techniques, output analysis, and practical AI application using ...

Varsity Tutors

Claude Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Skilled at teaching prompt crafting techniques, output analysis, and practical AI application using ...

Varsity Tutors

Claude Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Skilled at teaching prompt crafting techniques, output analysis, and practical AI application using ...

Varsity Tutors

Claude Tutor

Bloomington, IN · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Skilled at teaching prompt crafting techniques, output analysis, and practical AI application using ...

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All JobsAi Application Developer JobsAi Application Developer Jobs in Indiana

Ai Application Developer information

See Indiana salary details

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How much do ai application developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai application developer in Indiana is $50.09, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $57.64 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in Indiana?

For Ai Application Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Application Developer jobs in Indiana look for?

The top searched job categories for Ai Application Developer jobs in Indiana are:

Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,187 per year, or $50.1 per hour.

Director, Product Management - Data Intelligence Foundation

Relativity

Indianapolis, IN • On-site

Other

Posted 26 days ago

Key responsibilities

  • Own the full product management layer across multiple engineering organizations for the Data Intelligence Foundation, including defining and managing data primitives such as Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane.

  • Drive the development and roadmap of the foundational data layer to ensure it supports AI applications, legal data reasoning, and reliable data retrieval.

  • Establish and oversee organizational cadence, planning, and decision-making processes to enable the product team to operate efficiently and align priorities.

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$188,000 and $282,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

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