Technology H-1B Sponsorship Jobs in Michigan
Michigan's technology sector spans automotive software, cloud infrastructure, and enterprise IT, with major H-1B sponsors including General Motors, Ford, Stellantis, and large consulting firms operating across Detroit, Ann Arbor, and Dearborn. The state's deep ties between automotive R&D and software development make it a distinctive destination for technology professionals seeking H-1B visa sponsorship.
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Get Access To All JobsRole: Senior Engineer - Agentic AI
Location options: Any US Location
Job Description:
Preface: The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AI—autonomous systems that execute tasks independently—roles like “AI Agent Engineer” have emerged. In this client-facing consulting position, you’ll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.
What You Would Be Doing
- Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
- Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
- Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
- Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
- System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
- Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
- Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
- Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile teams, contributing to sprints and client demos.
- Industry-Specific Customization: Tailor solutions for each industry, adapting compliance, personalization, and integration as needed.
- Adhere to AI Ethics & Safety: Implement guardrails, content moderation, and privacy measures, following TCS’s responsible AI guidelines.
What Skills Are Expected
- Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
- AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
- Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
- RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
- API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
- Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
- Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
- Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
- Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
- Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
- Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Key Technology Capabilities
- Languages & Frameworks: Mastery of Python for AI/ML, with exposure to JavaScript/TypeScript, FastAPI, or Flask for APIs.
- AI/ML Tools: Experience with AI model APIs (OpenAI, Azure OpenAI), and ML frameworks like PyTorch or TensorFlow.
- Agent Development Libraries: Hands-on with LangChain or similar frameworks for prompt management and agent logic.
- Databases & Data Access: Working with SQL, NoSQL, and vector databases (e.g., Pinecone, Weaviate) for data retrieval.
- DevOps & Deployment: Familiarity with Docker, CI/CD, and cloud deployment (AWS, Azure, GCP, Lambda/Functions).
- Version Control & Collaboration: Proficient with Git and DevOps platforms (GitHub, GitLab, Bitbucket).
- Testing Tools: PyTest, Postman, and AI evaluation methods.
- Cloud & Services: Practical knowledge of cloud AI offerings and environment configuration.
- Messaging & Async Processing: Experience with event-driven workflows (RabbitMQ, Kafka, SQS) is a plus.
- Monitoring & Logging: Implementing logging (Python logging, CloudWatch, Application Insights) for tracking and debugging.
- Frameworks for UI (optional): Familiarity with Streamlit or basic web development for internal agent demos.
- Security & Compliance Tools: Handling OAuth, encryption, and compliance libraries for regulated industries.
- Source Data Tools: Using NLP libraries for text preprocessing and embeddings (e.g., sentence-transformers, Jupyter notebooks).
Salary Range: $115,000 - $155,000 a year
Location
Troy, MI
Job Function
TECHNOLOGY
Role
Senior Engineer
Job Id
412459
Desired Skills
Artificial Intelligence
Salary Range
$115,000-$155,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
Role: Senior Engineer - Agentic AI
Location options: Any US Location
Job Description:
Preface: The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AI—autonomous systems that execute tasks independently—roles like “AI Agent Engineer” have emerged. In this client-facing consulting position, you’ll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.
What You Would Be Doing
- Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
- Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
- Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
- Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
- System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
- Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
- Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
- Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile teams, contributing to sprints and client demos.
- Industry-Specific Customization: Tailor solutions for each industry, adapting compliance, personalization, and integration as needed.
- Adhere to AI Ethics & Safety: Implement guardrails, content moderation, and privacy measures, following TCS’s responsible AI guidelines.
What Skills Are Expected
- Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
- AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
- Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
- RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
- API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
- Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
- Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
- Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
- Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
- Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
- Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Key Technology Capabilities
- Languages & Frameworks: Mastery of Python for AI/ML, with exposure to JavaScript/TypeScript, FastAPI, or Flask for APIs.
- AI/ML Tools: Experience with AI model APIs (OpenAI, Azure OpenAI), and ML frameworks like PyTorch or TensorFlow.
- Agent Development Libraries: Hands-on with LangChain or similar frameworks for prompt management and agent logic.
- Databases & Data Access: Working with SQL, NoSQL, and vector databases (e.g., Pinecone, Weaviate) for data retrieval.
- DevOps & Deployment: Familiarity with Docker, CI/CD, and cloud deployment (AWS, Azure, GCP, Lambda/Functions).
- Version Control & Collaboration: Proficient with Git and DevOps platforms (GitHub, GitLab, Bitbucket).
- Testing Tools: PyTest, Postman, and AI evaluation methods.
- Cloud & Services: Practical knowledge of cloud AI offerings and environment configuration.
- Messaging & Async Processing: Experience with event-driven workflows (RabbitMQ, Kafka, SQS) is a plus.
- Monitoring & Logging: Implementing logging (Python logging, CloudWatch, Application Insights) for tracking and debugging.
- Frameworks for UI (optional): Familiarity with Streamlit or basic web development for internal agent demos.
- Security & Compliance Tools: Handling OAuth, encryption, and compliance libraries for regulated industries.
- Source Data Tools: Using NLP libraries for text preprocessing and embeddings (e.g., sentence-transformers, Jupyter notebooks).
Salary Range: $115,000 - $155,000 a year
Location
Troy, MI
Job Function
TECHNOLOGY
Role
Senior Engineer
Job Id
412459
Desired Skills
Artificial Intelligence
Salary Range
$115,000-$155,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
H-1B Technology Job Roles in Michigan
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Search Technology Jobs in MichiganTechnology H-1B Sponsorship Jobs in Michigan: Frequently Asked Questions
Which technology companies sponsor H-1B visas in Michigan?
Michigan's largest H-1B visa technology sponsors include General Motors, Ford Motor Company, Stellantis, and Aptiv, all of which regularly file for software engineers and data professionals. Consulting firms such as Deloitte, Cognizant, and Infosys also sponsor H-1B workers at Michigan client sites. University of Michigan and Michigan State University sponsor technology roles in research and IT, and mid-size automotive software suppliers like Harman and Bosch have a consistent sponsorship presence in the state.
Which cities in Michigan have the most technology H-1B sponsorship jobs?
Detroit and its suburbs, particularly Dearborn, Auburn Hills, and Troy, concentrate the largest share of technology H-1B sponsorship activity due to the presence of automotive OEMs and their supplier networks. Ann Arbor is a secondary hub driven by the University of Michigan, several health technology firms, and a growing startup ecosystem. Grand Rapids has a smaller but active technology hiring market, particularly in manufacturing software and healthcare IT.
What types of technology roles typically qualify for H-1B sponsorship in Michigan?
Roles that regularly qualify include software engineers, data scientists, machine learning engineers, cloud architects, cybersecurity analysts, embedded systems engineers, and IT project managers. In Michigan specifically, there is strong demand for software professionals with automotive domain knowledge, including those working on vehicle software platforms, ADAS systems, and connected vehicle infrastructure. Each role must meet the H-1B specialty occupation standard, requiring at least a bachelor's degree in a directly related field.
How do I find technology H-1B sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship type, so you can search technology H-1B sponsorship jobs in Michigan without sifting through roles that don't offer sponsorship. The platform surfaces openings from automotive OEMs, consulting firms, and technology companies actively hiring in Detroit, Ann Arbor, and surrounding areas. Filtering by state and visa type on Migrate Mate significantly reduces the time spent identifying which employers are currently sponsoring H-1B petitions in Michigan's technology sector.
Are there any Michigan-specific considerations for H-1B sponsorship in the technology sector?
Michigan's technology market is closely tied to the automotive industry, so many H-1B-sponsored roles involve software development within highly regulated environments, including functional safety standards like ISO 26262. Employers in this space often require domain-specific experience in addition to general software skills, which can affect how specialty occupation is documented in the H-1B petition. Ann Arbor's university connection also means some technology roles are structured as cap-exempt positions, which are not subject to the annual H-1B lottery.
What is the prevailing wage for H-1B technology jobs in Michigan?
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.