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Ai Platform Engineer Jobs in Rochester, IN (NOW HIRING)

Braunability

AI Data Architect

Winamac, IN

$58.75 - $75.50/hr

Platform Integration & IT Liaison * Develop secure API integrations between enterprise AI platforms ... engineering, data architecture, or database administration within an enterprise environment.

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Platform Integration & IT Liaison * Develop secure API integrations between enterprise AI platforms ... engineering, data architecture, or database administration within an enterprise environment.

BraunAbility

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

... enterprise AI platforms and BAA's existing technology stack. • Serve as the primary technical ... engineering, data architecture, or database administration within an enterprise environment. • ...

FastTek

Manufacturing Quality Engineer

Warsaw, IN

$71K - $92K/yr

Perform functional, regression, UAT, and live environment testing across platforms. * Identify ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Nasdaq

Site Reliability Engineer

Denver, IN · Hybrid

$81K - $142K/yr

Design, implement, and maintain cloud infrastructure and automation tooling to ensure platform ... Leverage AI tooling and automation to reduce manual effort, improve operational efficiency, and ...

Nasdaq

Director, UI Development

Denver, IN · Hybrid

$124K - $229K/yr

... AI product portfolio. Reporting to AVP, Software Engineering you will set technical direction ... Drive application performance, reliability, and scalability across web and mobile platforms.

Jj

Technology Sr Mgr, Deliver & Transport

Warsaw, IN

Lead the application of AI, advanced analytics, and automation to modernize supply chain platforms ... Bachelor's degree required, preferably in Information Systems, Supply Chain, Engineering, or a ...

All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Rochester, IN

Ai Platform Engineer information

See Rochester, IN salary details

$30

$59

$88

How much do ai platform engineer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for ai platform engineer in Rochester, IN is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $68.61 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 cities near Rochester, IN are hiring for Ai Platform Engineer jobs? Cities near Rochester, IN with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
AI Data Architect

AI Data Architect

Braunability

Winamac, IN

$58.75 - $75.50/hr

Full-time

Posted 29 days ago

BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

355th of 430 rated machine equipment manufacturers

Job description

Job Description:

Essential Functions:

  • Data Pipelining & Infrastructure

  • Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highlyaccurateRetrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead.

  • Build andmaintaindevelopment and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents onlyquery dataexplicitly authorizedforthe specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture developmentbegins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AIoutputsremainaccurateand safe for both office and factory floor operations.

  • Establish andmaintainService Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users areimpacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:

  • Deep technicalexpertiseworking with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strongproficiencyin building and securing API integrations between disparate cloud andon-premisessystems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC)atthe database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfortoperatingin a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

MinimumRequirements:

  • Bachelor's degree and minimum of6years of related work experiencerequired.

  • An equivalent combination of education and/or related work experience equal to10years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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