AI Product Engineer Visa Sponsorship Jobs in Indiana
Indiana's AI product engineer job market is anchored by tech-forward employers in Indianapolis, including Salesforce, Eli Lilly's digital health division, and a growing cluster of fintech and healthtech startups. Purdue University's strong computer science and AI programs feed a steady pipeline of international talent into roles that frequently come with H-1B visa sponsorship.
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Get Access To All JobsINTRODUCTION
As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best.
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon’s diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
Position Overview
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon’s diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
MANDATORY SKILLS
- Demonstrated expertise in large language models (LLMs), prompt engineering, and agentic frameworks such as LangChain, Semantic Kernel, and Copilot Studio
- Proven experience designing and delivering enterprise-grade AI solutions, including retrieval-augmented generation (RAG) and agentic workflows
- Strong expertise in cloud-native architecture and deployment across Azure, AWS, or GCP
- Extensive system design and architecture experience for complex, integrated enterprise platforms
- Ability to translate business requirements into scalable, practical AI solutions
- Hands-on experience building and scaling multi-agent systems and agentic workflows
- Ability to define data strategies across structured, unstructured, and vector-based data to improve AI performance and RAG accuracy
- Strong stakeholder engagement skills, with experience leading technical discovery sessions and translating business challenges into AI-enabled solutions
- Good understanding of multimodal AI models, including embedding and retrieval services for diverse content types such as video, CAD drawings, and other complex file formats
KEY RESPONSIBILITIES
- Design and implement enterprise-grade AI solutions, focusing on agentic workflows, RAG (Retrieval-Augmented Generation), and integrated LLM applications.
- Lead the technical execution of AI projects, managing resources and timelines while maintaining a high bar for code quality and architectural integrity.
- Collaborate with IT and Security teams to ensure AI deployments comply with enterprise data governance and infrastructure standards.
- Mentor future technical team members and establish best practices for AI development, testing, and monitoring.
- Provide "boots on the ground" technical leadership during the initial build phase, transitioning to a more strategic architectural role as the COE scales.
- Stay at the forefront of AI research and toolsets, evaluating new technologies for their potential to benefit Marmon’s businesses.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science Engineering, or a related technical field.
- 15+ years of experience in software engineering and architecture, with at least 2-3 years focused on AI/ML delivery.
- Experience implementing information lifecycle management and leveraging AI for solving use cases focused in enterprise unstructured content.
- Experience in a consulting or multi-business environment is highly preferred, as you will be supporting a wide range of autonomous industries.
- Proven experience leading technical teams and owning the delivery of high-visibility enterprise initiatives.
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.
INTRODUCTION
As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best.
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon’s diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
Position Overview
The newly established AI Center of Excellence (COE) is seeking its key technical hire: a hybrid leader who functions as a Technical Architect, Technical Lead, and Delivery Owner. This is a highly visible, enterprise-level role responsible for bridging the gap between high-level AI strategy and hands-on technical execution. You will partner with business stakeholders across Marmon’s diverse portfolio to design, build, and deploy AI solutions that drive measurable value. This role is ideal for a strategic thinker who is equally comfortable whiteboarding an architecture as they are owning the end-to-end delivery of a production-ready AI agent or application.
MANDATORY SKILLS
- Demonstrated expertise in large language models (LLMs), prompt engineering, and agentic frameworks such as LangChain, Semantic Kernel, and Copilot Studio
- Proven experience designing and delivering enterprise-grade AI solutions, including retrieval-augmented generation (RAG) and agentic workflows
- Strong expertise in cloud-native architecture and deployment across Azure, AWS, or GCP
- Extensive system design and architecture experience for complex, integrated enterprise platforms
- Ability to translate business requirements into scalable, practical AI solutions
- Hands-on experience building and scaling multi-agent systems and agentic workflows
- Ability to define data strategies across structured, unstructured, and vector-based data to improve AI performance and RAG accuracy
- Strong stakeholder engagement skills, with experience leading technical discovery sessions and translating business challenges into AI-enabled solutions
- Good understanding of multimodal AI models, including embedding and retrieval services for diverse content types such as video, CAD drawings, and other complex file formats
KEY RESPONSIBILITIES
- Design and implement enterprise-grade AI solutions, focusing on agentic workflows, RAG (Retrieval-Augmented Generation), and integrated LLM applications.
- Lead the technical execution of AI projects, managing resources and timelines while maintaining a high bar for code quality and architectural integrity.
- Collaborate with IT and Security teams to ensure AI deployments comply with enterprise data governance and infrastructure standards.
- Mentor future technical team members and establish best practices for AI development, testing, and monitoring.
- Provide "boots on the ground" technical leadership during the initial build phase, transitioning to a more strategic architectural role as the COE scales.
- Stay at the forefront of AI research and toolsets, evaluating new technologies for their potential to benefit Marmon’s businesses.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science Engineering, or a related technical field.
- 15+ years of experience in software engineering and architecture, with at least 2-3 years focused on AI/ML delivery.
- Experience implementing information lifecycle management and leveraging AI for solving use cases focused in enterprise unstructured content.
- Experience in a consulting or multi-business environment is highly preferred, as you will be supporting a wide range of autonomous industries.
- Proven experience leading technical teams and owning the delivery of high-visibility enterprise initiatives.
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.
AI Product Engineer Job Roles in Indiana
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Search AI Product Engineer Jobs in IndianaAI Product Engineer Jobs in Indiana: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Indiana?
Salesforce, Eli Lilly, Cummins, and Anthem (now Elevance Health) have established H-1B sponsorship histories in Indiana for technical product roles. Indianapolis-based healthtech and fintech startups also sponsor, though less consistently than large enterprises. Checking USCIS H-1B disclosure data and DOL LCA filings for Indiana employers is the most reliable way to confirm which companies have actively sponsored AI-related roles.
Which visa types are most common for AI product engineer roles in Indiana?
The H-1B is the most common visa for AI product engineers in Indiana, as these roles typically require a bachelor's degree or higher in computer science, AI, or a related engineering field, satisfying the specialty occupation standard. Candidates already in the U.S. on F-1 OPT or STEM OPT often transition to H-1B sponsorship through Indiana employers. L-1B intracompany transfer visas apply for those moving from a foreign office of a multinational with Indiana operations.
Which cities in Indiana have the most AI product engineer sponsorship jobs?
Indianapolis is by far the most active city, concentrating the majority of Indiana's AI product engineer sponsorship activity across enterprise tech, healthcare IT, and financial services. West Lafayette, home to Purdue University, attracts some roles tied to university research commercialization and nearby tech employers. Bloomington has a smaller but active tech presence connected to Indiana University's informatics and AI programs.
How to find ai product engineer visa sponsorship jobs in Indiana?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles and lets you filter AI product engineer jobs by state, including Indiana. Because Indiana's sponsorship activity is concentrated among a defined set of enterprise employers and healthtech companies, filtering by location and role type on Migrate Mate surfaces the most relevant openings without wading through listings from employers who don't sponsor.
What should AI product engineers know about Indiana's hiring market before applying?
Indiana's AI product engineer hiring is heavily weighted toward healthcare IT, insurance technology, and advanced manufacturing, reflecting the state's dominant industries. Employers here often expect product engineers to bridge machine learning capabilities with domain-specific applications, not just general AI tooling. Purdue and IU alumni networks are active in the Indianapolis market, and prior internship or co-op experience with Indiana employers can meaningfully improve sponsorship prospects at those same companies after graduation.
What is the prevailing wage for sponsored ai product engineer jobs in Indiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.