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Ai Jobs in Rochester, IN (NOW HIRING)

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

BraunAbility is a company focused on enhancing mobility solutions, and they are seeking an AI Data Architect to build and maintain data pipelines that support AI solutions. The role involves ensuring ...

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

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 ...

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Build, optimize, and maintain the data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM ...

As a Staff AI/ML Software Engineer in the Navigation R&D team, you will architect, plan and lead the AI/ML development and integration for nextgeneration surgical navigation and planning systems. You ...

* Job title: Product Engineer * Experience: 5-26 Years * Location: Winamac, USA * Job Type: Full-time Must Haves: * Bachelors in Engineering. * Designing New Vehicles from start to finish. * Experience ...

The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs. * Other duties as assigned.

Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use ...

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Ai information

See Rochester, IN salary details

$41

$57

$66

How much do ai jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai in Rochester, IN is $57.09, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $63.46 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What is an entry-level job in AI?

An entry-level job in AI typically involves tasks such as data preprocessing, basic model training, and assisting with AI research under supervision. Common roles include AI intern, junior data scientist, or AI technician, often requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are popular job titles related to Ai jobs in Rochester, IN? For Ai jobs in Rochester, IN, the most frequently searched job titles are:
What cities near Rochester, IN are hiring for Ai jobs? Cities near Rochester, IN with the most Ai job openings:
Infographic showing various Ai job openings in Rochester, IN as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $118,751 per year, or $57.1 per hour.

AI Data Architect

BraunAbility

Winamac, IN • On-site

$58.75 - $75.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

404th of 487 rated machine equipment manufacturers


Job description

Job Summary:
BraunAbility is a company focused on enhancing mobility solutions, and they are seeking an AI Data Architect to build and maintain data pipelines that support AI solutions. The role involves ensuring data security, compliance, and integration with existing technology stacks while also serving as a technical liaison for IT needs.
Responsibilities:
• Build, optimize, and maintain the 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 highly accurate Retrieval-Augmented Generation (RAG) architectures.
• Map complex enterprise data schemas to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead.
• Build and maintain development and testing environments that allow the Studio to experiment rapidly without risking production systems.
• Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment — ensuring AI agents only query data explicitly authorized for the 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 development begins — 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 AI outputs remain accurate and safe for both office and factory floor operations.
• Establish and maintain Service Level Agreements (SLAs) for pipeline uptime — detecting and communicating failures before end-users are impacted.
• 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.
Qualifications:
Required:
• Bachelor’s degree and minimum of 6 years of related work experience required.
• An equivalent combination of education and/or related work experience equal to 10 years will also be considered.
• 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.
• Deep technical expertise working with SQL, enterprise data lakes, and ETL/ELT pipeline construction.
• Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems.
• Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) at the database and application layer.
• Exceptional troubleshooting and debugging skills — able to independently diagnose integration issues across legacy platforms without waiting for vendor support.
• Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.
Company:
BraunAbility is the world's leading manufacturer of mobility transportation solutions, including wheelchair accessible vehicles, wheelchair lifts and seating, storage and securement products. Founded in 1972, the company is headquartered in Carmel, Indiana, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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