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Ai Platform Engineer Jobs in Indiana (NOW HIRING)

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and AI credentials - Building and orchestrating AI agent workflows using frameworks such as ...

$84K - $111K/yr

... SaaS AI platforms, developer tooling, and API foundation models (e.g., Claude, OpenAI ChatGPT, Cursor). Responsibilites * Serve as the FinOps Product Owner for stakeholder-facing capabilities ...

Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations ... Platform, virtual desktop infrastructure solutions, and AI-enabled workplace technologies.

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 3, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

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 training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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 August 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $126,583 per year, or $60.9 per hour.

Agentic AI Engineer, Senior - Anthropic/Claude

Deloitte

Indianapolis, IN • On-site

$99K - $137K/yr

Full-time

Posted 14 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 09/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
  • Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
  • Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
  • Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
  • Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
  • Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
  • Manage changes to scope, schedule, and cost in line with the engagement's change management process
  • Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
  • Maintain clear, consistent communication with client stakeholders and internal engagement leadership

You'll be deployed onto client engagements that typically involve one or more of the following:

  • Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
  • Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
  • Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
  • Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
  • Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
  • 2+ years of hands-on experience developing AI/ML applications in Python
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience in consulting or other client-facing delivery roles
  • Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
  • Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
  • Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
  • Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
  • Cloud certification(s) - AWS, Azure, or Google Cloud
  • Experience creating client workshop collateral and leading interactive working sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 09/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
  • Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
  • Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
  • Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
  • Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
  • Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
  • Manage changes to scope, schedule, and cost in line with the engagement's change management process
  • Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
  • Maintain clear, consistent communication with client stakeholders and internal engagement leadership

You'll be deployed onto client engagements that typically involve one or more of the following:

  • Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
  • Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
  • Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
  • Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
  • Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
  • 2+ years of hands-on experience developing AI/ML applications in Python
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience in consulting or other client-facing delivery roles
  • Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
  • Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the n...

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