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Ai Integration Jobs in Indiana (NOW HIRING)

AI/ML Integration & Intelligent Solutions * Design and implement AI-enabled application features, such as: * Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)

AI/ML Integration & Intelligent Solutions * Design and implement AI-enabled application features, such as: * Integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms)

Design and implement AI-enabled application features, including integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock, or similar platforms). * Develop intelligent search, summarization ...

Design and implement AI-enabled application features such as integration with LLMs and AI APIs (e.g., Azure OpenAI, AWS Bedrock). * Collaborate with stakeholders to identify AI opportunities that ...

AI is an early-stage precision medicine company redefining how concierge, functional, and longevity practices deliver care. By integrating whole-genome sequencing, multi-omic data, and AI-driven ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Advanced Integrations Engineer

Carmel, IN · On-site

$98K - $132K/yr

Lead technical design and code review sessions; establish and reinforce development standards for integration and API services. * Apply AI-assisted engineering practices using coding agents (such as ...

Advanced Integrations Engineer

Indianapolis, IN · On-site

$99K - $133K/yr

Lead technical design and code review sessions; establish and reinforce development standards for integration and API services. * Apply AI-assisted engineering practices using coding agents (such as ...

Showing results 21-40

Ai Integration information

See Indiana salary details

$20.5K

$112.3K

$162.7K

How much do ai integration jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai integration in Indiana is $112,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $139,400.00 per year, depending on experience, location, and employer.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What are the key skills and qualifications needed to thrive as an AI integration specialist, and why are they important?

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects.

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

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

What cities in Indiana are hiring for Ai Integration jobs?

Cities in Indiana with the most Ai Integration job openings:

Infographic showing various Ai Integration job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,272 per year, or $54 per hour.

Senior Software Engineer, Full-Stack

Indianapolis, IN

Full-time

Posted 13 days ago


Job description

About Markup AI

Markup AI is pioneering the AI content governance category with the industry's first Content Guardian Agents™—AI-powered agents that automatically scan, score, and rewrite content to ensure it meets brand, compliance, terminology, and quality standards before it goes live. Purpose-built for AI-first marketing and content teams, Markup AI integrates directly into LLMs, CMS platforms, and enterprise workflows through its API- and MCP-first architecture, giving organizations the confidence to scale AI-generated content without sacrificing quality, consistency, or trust. Backed by decades of expertise in enterprise content governance, Markup AI is helping leading global brands publish faster, safer, and with confidence.

Eligible candidates must reside in one of the following states: Florida, Georgia, Indiana, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, Texas

About the Role

We're looking for a Senior Software Engineer to own product capabilities from the data model to the final interaction.

This is a frontend-leaning full-stack role: roughly 70% TypeScript and React and 30% Python and backend work, varying by project. A typical feature starts with a database query or API contract and ends as a polished experience in production. The team's scope includes organization and user management, permissions and SSO, reporting and analytics, self-serve onboarding, our shared design system, and integrations with Google Docs and Word Online through our Chrome extension.

The work combines traditional enterprise product engineering with unusually difficult browser and document problems. Our product must remain dependable while AI results arrive incrementally, enterprise permission models evolve, and third-party applications change underneath our integrations.

What You'll Own

  • Lead substantial product features from discovery and technical design through implementation, rollout, instrumentation, and iteration.
  • Build complex, responsive product experiences with React, TypeScript, Next.js, and TanStack Query.
  • Design the endpoints, data models, queries, and migrations that support those experiences.
  • Evolve our Chrome extension and document integrations across Google Docs, Word Online, and other enterprise authoring environments.
  • Improve our shared design system while treating accessibility, keyboard behavior, and focus management as product requirements.
  • Build interfaces for asynchronous and LLM-powered workflows, including streaming results, partial failures, retries, and long-running operations.
  • Maintain strong automated coverage with Vitest, Testing Library, and Playwright, including end-to-end tests against third-party applications.
  • Use instrumentation and evidence to diagnose production behavior, including failures caused by upstream applications we do not control.
  • Write concise design documents or ADRs when a decision affects multiple systems, packages, or teams.
  • Raise the engineering bar through thoughtful reviews, pairing, and improvements to shared foundations.

What You Bring

  • Deep experience building production applications with React and TypeScript. This will often mean six or more years in professional software development, but demonstrated scope, judgment, and ownership matter more than a precise number.
  • Strict TypeScript habits and clear, well-reasoned views about component boundaries, state, data flow, and API design.
  • Experience with client data layers, including cache-key design, invalidation, optimistic updates, and failure recovery.
  • A history of shipping features across the stack. You can explain how you designed a schema, exposed the right API, built the interface, and operated the service in production.
  • Experience building enterprise software involving multi-tenancy, roles and permissions, administration, organization-level settings, onboarding, or customer reporting.
  • Strong testing habits and experience treating accessibility as part of implementation rather than a later audit.
  • Strong debugging abilities: working with traces, logs, product analytics, and debugging in third party applications.
  • The ability to scope ambiguous work, communicate tradeoffs, and take responsibility for quality after launch.

What Would Be Cool To Have

You do not need experience with items in this section. If you don't, you'll learn them on the job!

  • Building backend Python FastAPI APIs
  • Streaming or SSE interfaces for AI products, including latency, partial results, retries, and non-deterministic output.
  • Temporal or another distributed workflow system, including activities, determinism, retries, timeouts, and task queues.
  • ClickHouse or customer-facing analytics data visualization.

How We Work

We hold a high bar for correctness: strict types, zero-error static analysis, test-first development, accessible interactions, and clear technical decisions. Senior engineers are expected to own outcomes, collaborate closely across product and design, and leave shared systems stronger than they found them.

If this work excites you and you meet most of the core qualifications, we encourage you to apply even if you do not match every preferred technology or domain.