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Ai Platform Engineer Jobs in Indiana (NOW HIRING)

Cherry Bekaert

AI Prompt and Skills Engineer

Indianapolis, IN · On-site

$68K - $88K/yr

The Prompt + Skills Engineer is the hands-on builder in Cherry Bekaert's AI Center of Excellence ... Monitors AI platform updates and new capabilities (e.g., Anthropic Claude releases, new tool-use ...

Patrick Industries

IT Analyst, AI Engineer

Elkhart, IN · On-site

The AI Engineer partners closely with product managers, platform engineers, data engineers, and business stakeholders to deliver scalable, secure, and reliable AI solutions that support enterprise ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The ... Our client is building a governed data and AI platform, integrating device, laboratory, partner ...

Agilent

$232K - $362K/yr

Key Responsibilities Platform Engineering & CI/CD Strategy * Own the design, implementation, and ... Evolve operations from reactive monitoring to predictive, AI-enabled observability , proactively ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Indiana

Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai platform engineer in Indiana is $60.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $70.24 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Indiana? For Ai Platform Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Indiana look for? The top searched job categories for Ai Platform Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Platform Engineer jobs? Cities in Indiana with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Indiana as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $126,583 per year, or $60.9 per hour.

Platform Engineer/Architect, Senior P15 - P16

FEDITC LLC

Indianapolis, IN • On-site

Full-time

Re-posted 16 days ago

Job description

FEDITC, LLC is a fast-growing business supporting DoD and other intelligence agencies worldwide. FEDITC develops mission critical national security systems throughout the world directly supporting the Warfighter, DoD Leadership, & the country. We are proud & honored to provide these services.
Overview of position:
We are looking for a Platform Engineer/Architect Senior to work in Indianapolis, IN.
An active Top Secret/SCI security clearance and a United States Citizenship is required to be considered for this position.
Responsibilities
  • Provide senior platform engineering support for DFAS CCE infrastructure
  • Process CCE priority Tier 3 DFASNow support tickets
  • Support implementation of new hardware and software into DFAS CCE
  • Take actions required to properly test, configure, and install new technologies
  • Ensure no conflicts when implementing new technologies
  • Develop briefings, studies, project estimates, and cost benefit analyses
  • Develop detailed design documentation for critical design review
  • Support CCE infrastructure monitoring and service delivery
  • Maintain engineering network configuration documentation
  • Coordinate with government team members on coverage and workload balance

Experience/Skills:
  • 8+ years enterprise systems engineering experience
  • Windows Server administration expertise (AZ801-802 certification)
  • Security+ certification demonstrating baseline security knowledge
  • Experience with enterprise virtualization platforms
  • Proficiency in MECM, SCOM, and Microsoft System Center suite
  • Experience with Directory Services (Active Directory)
  • Knowledge of Microsoft and Linux server administration
  • Experience developing technical documentation and design specifications
  • Familiarity with DoD change control processes

Preferred Qualification:
  • CISSP certification (upgrade path)
  • Azure administrator certification
  • VMware VCP certification
  • Experience with DFAS or DoD financial systems
  • Prior DoD infrastructure engineering experience
  • Knowledge of DISA STIGs
  • Experience with containerization technologies

Education:
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field

Certifications:
  • Microsoft Azure AZ-801 & AZ-802
  • CompTIA Security+ or equivalent DoD-approved IAT Level II certification

Clearance:
  • Active Top Secret/SCI Security clearance is required.
  • Must be a United States Citizen and pass a background check.
  • Maintain applicable security clearance(s) at the level required by the client and/or applicable certification(s) as requested by FEDITC and/or required by FEDITC'S Client(s)/Customer(s)/Prime contractor(s).

FEDITC, LLC. is committed to fostering an inclusive workplace and provides equal employment opportunities (EEO) to all employees and applicants for employment. We do not employ AI tools in our decision-making processes. Regardless of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, FEDITC, LLC. ensures that all employment decisions are made in accordance with applicable federal, state, and local laws. Our commitment to non-discrimination in employment extends to every location in which our company operates.

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