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Ai Platform Engineer Jobs in Indiana (NOW HIRING)

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Data Platform Engineer (Data 360) We are looking for a Data Platform Engineer to help us support ... and AI/ML initiatives. * Legacy Migration: Execute the migration, ingestion, and mapping of ...

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Ai Platform Engineer information

See Indiana salary details

$31

$60

$90

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

Sharpen Technologies Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

Sharpen is hiring a Platform Engineer to help scale and evolve the core infrastructure that powers our cloud-native SaaS platform. You’ll work closely with our Platform Engineering Lead and other engineering teams to design, build, and maintain the systems, tools, and workflows that make our product development fast, reliable, and secure.

This role is ideal for someone who thrives in an environment where automation, observability, and DevOps culture are core values and who wants to grow into a technical leadership path over time.

What You’ll Do

● Help design, build, and maintain our AWS-based infrastructure using IaC tools like AWS CDK or Terraform

● Build internal tooling and developer experience improvements to reduce friction across engineering

● Contribute to our observability and incident response strategy (Grafana, OpenTelemetry, etc.)

● Participate in on-call rotations and help us refine our operational excellence practices

● Collaborate with developers, QA, and security to ensure our infrastructure is stable, compliant, and cost-efficient

● Support the adoption of DevOps best practices and participate in architectural discussions for new services

What We’re Looking For

● 1+ years of experience as a platform, infrastructure, or DevOps engineer

● Hands-on experience with AWS and infrastructure-as-code tools (CDK, Terraform, CloudFormation, etc.)

● Experience with CI/CD pipelines (GitHub Actions, CircleCI, etc.)

● Familiarity with monitoring, logging, and tracing tools like Grafana or OpenTelemetry

● Comfortable working with containerized applications in ECS, EKS, or similar environments

● Solid scripting or programming experience in languages like TypeScript, Go, Python, or Bash

● A bias for automation and a mindset of continual improvement

● Experience using AI to automate and streamline workflows

Nice to Have

● Experience supporting multi-tenant SaaS platforms

● Exposure to security/compliance frameworks like SOC 2 or PCI

● Experience working in teams that own their infrastructure and participate in on-call

● Familiarity with SIP, VoIP systems, or real-time communication infrastructure

Why Join Sharpen?

We’re not your typical tech company—we’re collaborative, curious, and constantly pushing to improve how contact centers operate. If you’re ready to grow with a mission-driven team and make an impact on how companies connect with their customers, Sharpen is the place for you!

● Competitive salary + commission and performance bonuses

● Full benefits package (health, dental, vision, 401k)

● 401k match and employer HSA contribution

● Career growth opportunities within a dynamic and growing company

Apply