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Ai Engineer Developer Salary Jobs in Indiana (NOW HIRING)

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 & Innovation team focused on advancing the organization's data and analytics capabilities. This position will ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... The salary range for this position is: $50,500 - $112,500. Actual compensation within the range ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

Description The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data & Innovation team focused on advancing the organization's data and analytics capabilities. This ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

The AI Engineer is an experienced technical professional who bridges business strategy with AI technology to design and implement scalable, secure AI systems to meet organizational goals.

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

The AI Engineer is an experienced technical professional who bridges business strategy with AI technology to design and implement scalable, secure AI systems to meet organizational goals.

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Elevate Ventures

AI Engineer

Indianapolis, IN · On-site

$70 - $90/hr

Your Mission Join us as a Junior Full-Stack AI Engineer, helping design and build AI-infused applications across the stack. You'll get hands‑on with prompts, workflows, and agents -- while learning ...

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Ai Engineer Developer Salary information

What is the difference between Ai Engineer Developer Salary vs Data Scientist Salary?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelop AI models, algorithms, and softwareAnalyze data, build predictive models, interpret complex datasets
Common Search & Comparison IntentSalary differences, job roles, skills requiredSalary expectations, job responsibilities, career path

Generally, Ai Engineer Developers tend to have higher salaries due to specialized AI development skills, but Data Scientists also command competitive pay based on their expertise in data analysis and modeling. Both roles are in high demand across tech-driven industries.

How much do AI engineer developers get paid?

AI engineer developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

Is an AI engineer developer a high paying job?

AI engineer developers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

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

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

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Cities in Indiana with the most Ai Engineer Developer Salary job openings:

Ai Engineer Developer Salary jobs near you

AI Engineer

Fort Wayne, IN • On-site

Lasting Change, Inc
See more jobs at Lasting Change, Incexternal

Full-time

Re-posted 29 days ago

Job description

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data & Innovation team focused on advancing the organization's data and analytics capabilities. This position will design, build, and deploy AI-powered solutions that improve staff effectiveness and enhance services for clients. Initial focus areas include surfacing insights from complex documentation, reducing administrative burden, and supporting faster, more informed decision-making across programs and operations.
Working closely with organizational stakeholders and the broader data team, the AI Engineer will leverage curated data assets from Petra, Lasting Change's Microsoft Fabric-based enterprise data lakehouse, to deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI capabilities mature, this role will help establish the standards, platforms, and practices that support long-term success.
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
  1. Perform quality work within deadlines with or without direct supervision.

2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Requirements
LLM Application Development
  • Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces.
  • Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows.
  • Evaluate, select, and integrate best-in-class LLM and AI platform tooling, with preference for Microsoft Fabric, Azure AI Foundry, and complementary services.
  • Ensure AI applications are reliable, auditable, and designed with responsible AI principles, including transparency, fairness, and appropriate human oversight.

Agentic Workflows & Process Automation
  • Design and deploy agentic workflows that automate multi-step processes, reducing manual effort and improving consistency across operations.
  • Build and integrate MCP (Model Context Protocol) servers to connect AI agents with organizational data sources, internal tools, and external services.
  • Collaborate with operational stakeholders to identify, scope, and deliver automation opportunities with clear business value.
  • Contribute to a disciplined, iterative approach to AI development - shipping focused solutions, learning from them, and expanding scope over time.

Data Collaboration & Platform Integration
  • Partner closely with the internal data team to leverage curated, trusted datasets from Petra as inputs to AI systems and pipelines.
  • Collaborate on data modeling and governance decisions that support AI use cases without compromising platform integrity.
  • Ensure all AI pipelines are integrated with the organization's data platform, security standards, and access controls.
  • Use Python and SQL fluently across prototyping, feature engineering, and production pipeline development.

Stakeholder Collaboration & Communication
  • Engage directly with program leaders, operations staff, and leadership to understand business problems and define AI solutions with clear, measurable outcomes.
  • Communicate AI system behavior, limitations, and results in plain language to non-technical audiences.
  • Champion responsible, explainable AI use across the organization - ensuring solutions are trustworthy and aligned with Lasting Change's mission and values.
  • Maintain thorough documentation of all AI systems, prompt designs, agentic workflows, and integration patterns to support maintainability and knowledge transfer.

Platform Ownership & Continuous Improvement
  • Contribute to AI engineering standards and tooling choices that can scale as the organization's capability grows.
  • Leverage AI-assisted development practices to maximize engineering velocity across prototyping, documentation, and testing.
  • Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value.
  • Participate in shaping the long-term AI roadmap, including identifying when and how machine learning capabilities should be introduced over time.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 5-8 years of professional experience in AI, data engineering, software engineering, or a closely related field.
  • Demonstrated expertise in LLM integration, prompt engineering, and building AI-powered applications using modern foundation models.
  • Hands-on experience designing and deploying agentic AI workflows, including tool use and multi-step reasoning; familiarity with agent orchestration frameworks a plus.
  • Experience building or integrating MCP (Model Context Protocol) servers or equivalent agent-to-tool integration patterns.
  • Strong proficiency in Python and SQL; comfortable across prototyping, pipeline development, and production deployment.
  • Experience with cloud AI platforms; Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.
  • Experience consuming organizational data platforms (lakehouses, warehouses, or similar) as inputs to AI systems.
  • Strong communication skills with the ability to explain AI concepts, system behavior, and trade-offs clearly to non-technical stakeholders.
  • Demonstrated commitment to responsible AI practices including explainability, fairness, and appropriate human oversight.
  • Highly organized, self-directed, and motivated by mission-driven work.

Preferred Qualifications
  • Experience with retrieval-augmented generation (RAG) architectures and vector search platforms (e.g. Azure AI Search, Pinecone, Weaviate).
  • Familiarity with MLOps concepts and an interest in growing into machine learning model development and deployment over time.
  • Exposure to healthcare, human services, or nonprofit data environments.
  • Microsoft Azure AI, Fabric, or equivalent cloud certifications.
  • Experience surfacing AI outputs through Power BI or other BI and reporting platforms.
  • Comfortable working in a greenfield environment where processes and patterns are still being established.
  • Commitment to continuous learning and professional growth in a rapidly evolving field.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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