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Ai Platform Engineer Jobs in Indiana (NOW HIRING)

Platform Engineer II

Carmel, IN · On-site

$125K - $150K/yr

We're increasingly incorporating AI into our platform operations, so you'll have opportunities to ... As MISO's Platform Engineer II , you will: * Drive secure, rapid platform development while ...

ROLE SUMMARY The Head of AI & Agentic Platform Engineering owns the infrastructure layer that makes Pfizer's AI ambitions executable, the compute, LLM gateway, MLOps machinery, and observability ...

Platform Engineer, Test Location: Austin About the Role The Platform Engineer, Test at inKind is ... Exposure to AI-powered testing tools and automation techniques * Experience working within a Rails ...

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 Jul 18, 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.

Which 3 jobs will survive AI?

AI Platform Engineers are likely to continue to be in demand as they develop, deploy, and maintain AI systems, requiring skills in machine learning, cloud computing, and programming. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist despite AI advancements. These roles often require human judgment and interpersonal skills that AI cannot easily replicate.

What are AI Platform Engineers?

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 does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model deployment, monitoring, and optimization in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Platform Engineer or senior AI researcher, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, cloud platforms, and extensive experience, and are usually found in leading tech companies or AI-focused organizations.

What engineer makes $500,000 a year?

Senior AI Platform Engineers or Machine Learning Engineers with extensive experience, advanced skills in cloud computing, and expertise in AI tools can earn salaries around or above $500,000 annually, especially in high-demand industries or companies. Such roles often require strong programming, data management, and system architecture knowledge, along with relevant certifications and a track record of successful projects.

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:
Infographic showing various Ai Platform Engineer job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $126,583 per year, or $60.9 per hour.
Platform Engineer II

Platform Engineer II

MISO

Carmel, IN • On-site

$125K - $150K/yr

Full-time

Retirement, PTO

Re-posted 19 days ago


Job description

As MISO's Platform Engineer II, you'll help ensure our cloud platforms stay secure, reliable, and operating at their best. Your work will center on automation, process improvement, and enhancing the overall health of our cloud environment. You'll contribute to our cloud governance strategy, build automation and self-service tools, and support both private and public cloud solutions. You'll also work hands-on with technologies like GitHub, Terraform, GitOps, Azure, AWS, and Oracle.
We're increasingly incorporating AI into our platform operations, so you'll have opportunities to use generative AI, large language models, and AI-assisted frameworks to improve the platform and create new capabilities. This role is ideal for someone experienced in cloud technologies, Kubernetes, and automation tooling who is excited about applying emerging AI technologies to modern platform engineering. If you enjoy using automation and cloud engineering to make systems smarter, faster, and more efficient, you'll thrive here.
As MISO's Platform Engineer II, you will:
  • Drive secure, rapid platform development while ensuring high system availability through proactive monitoring and observability.
  • Evaluate and apply AI-assisted engineering technologies, including generative AI, LLMs, prompt engineering, RAG, and agent frameworks, to advance Platform Operations and capabilities.
  • Troubleshoot and optimize complex distributed systems with a strong customer-focused mindset and continuous improvement orientation.
  • Collaborate across engineering, infrastructure, and security teams to mature cloud adoption, configuration management, and governance practices.
  • Enhance operational efficiency through scripting, automation, orchestration, and the use of modern coding assistants and automation tools.
  • Participate in a 24x7 on-call rotation.

To be successful as our Platform Engineer II, we are looking for the following:
  • Bachelor's degree in Computer Science, Engineering, AI, or related field, or 6-8 years of relevant work experience
  • Proficiency with CI/CD pipelines and automation tooling, including GitHub Actions, server automation, and network automation.
  • Strong scripting capabilities using Shell, Python, and PowerShell across multiple operating systems (UNIX, Windows, Linux).
  • Hands-on experience with Azure cloud technologies, such as AKS, Azure Data Services, Azure AI Foundry, identity services, networking, ADFS, and cloud cost/capacity management.
  • Deep familiarity with modern platform engineering frameworks and tools including GitOps, Kubernetes, Ansible, Rancher, Docker, Grafana, and Prometheus.

Appropriate level will be determined based upon experience and knowledge.
Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future - it's what our immensely hardworking and dedicated team does every day.
The base salary compensation range being offered for this role is $125,000 - $150,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.
Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.