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Ai Data Engineer Jobs in Indiana (NOW HIRING)

You will also help advance modern engineering practices, including AI-assisted development, reusable patterns, data quality automation, and observability. This is an opportunity to make a meaningful ...

You will also help advance modern engineering practices, including AI-assisted development, reusable patterns, data quality automation, and observability. This is an opportunity to make a meaningful ...

You will also help advance modern engineering practices, including AI-assisted development, reusable patterns, data quality automation, and observability. This is an opportunity to make a meaningful ...

You will also help advance modern engineering practices, including AI-assisted development, reusable patterns, data quality automation, and observability. This is an opportunity to make a meaningful ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

The AI & Data Presales Expert leads the full presales lifecycle for data, analytics, and AI ... Value Engineering & Business Case Development * Create and update ROI/TCO models, benefit ...

GS - Data Science Pod

Indianapolis, IN · On-site

$109K - $131K/yr

Serve as a primary developer for pipeline code, including data movement, processing, aggregation, quality control, and integration of AI capabilities. * Build and maintain internal platforms and APIs ...

Serve as a primary developer for pipeline code, including data movement, processing, aggregation, quality control, and integration of AI capabilities. * Build and maintain internal platforms and APIs ...

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... AI/ML use cases. You will partner closely with data architects, analytics engineers, data ... scientists, business stakeholders, and platform engineering teams to deliver reliable, performance ...

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest ...

Showing results 41-60

Ai Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do ai data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ai data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What does an AI data engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are the key skills and qualifications needed to thrive as an AI data engineer?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What are some common challenges an AI data engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What are the most commonly searched types of Ai Data Engineer jobs in Indiana?

The most popular types of Ai Data Engineer jobs in Indiana are:

Infographic showing various Ai Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Generative AI Engineer

Indianapolis, IN • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees

Full-time

Posted 13 days ago


Job description

Role Overview:
Design, engineer, and implement enterprise-scale AI/ML and generative AI solutions for clinical data workflows. This role requires delivering secure, scalable architectures independently while maintaining accountability for project delivery and technical excellence.
Key Responsibilities:
  • Conceive, design, and implement AI solutions; analyze workflows and devise innovative technical approaches.
  • Design secure, scalable architectures for AI/ML, generative AI, and agentic solutions.
  • Design and implement emerging AI technologies such as RAG, agentic workflows, and agent-to-agent communication.
  • Build and deploy predictive analytics and generative AI solutions to production environments.
  • Develop robust data/model pipelines, APIs, and integration layers; establish AI/MLOps best practices.
  • Implement CI/CD, monitoring, and observability for AI/ML systems.
  • Own project scope and delivery accountability.

Required Skills:
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda, RDS, Glue, Athena, DynamoDB, Postgres), Databricks (Platform, Delta Lake, Spark, MLflow, SQL).
  • Programming Languages & ML: Python, PySpark, SQL.
  • DevOps & Infrastructure: Git, CI/CD, Docker, Kubernetes, IaC (Terraform/CloudFormation).
  • AI/Data Technologies: Generative AI frameworks, Large Language Models (LLMs), vector databases, Apache Spark.

Qualifications:
  • Bachelor's degree (BS) in Computer Science, Engineering, Mathematics, Statistics or equivalent professional experience.
  • 5+ years of experience in software, data, or ML engineering.
  • 3+ years of experience deploying ML solutions in production environments.

Preferred Skills:
  • Digital Artificial Intelligence (AI) expertise.