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Remote Ai Implementation Jobs in Michigan (NOW HIRING)

$93K - $122K/yr

... development, implementation, and support of AI-enabled applications, tools, agents, and ... to be remote and office presence as needed. -Opportunity to define technical direction ...

$111K - $146K/yr

Design, build, test, implement, and support AI-enabled applications, tools, agents, automations ... A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office ...

Implement robust AI systems and functionalities, ensuring optimal performance and scalability ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Senior AI Engineer

Grand Rapids, MI · On-site +1

$100K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Design and implement complex AI/ML systems, pipelines, and model-serving architectures for ...

Showing results 21-40

Remote Ai Implementation information

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.
What are the most commonly searched types of Ai Implementation jobs in Michigan? The most popular types of Ai Implementation jobs in Michigan are:
What are popular job titles related to Remote Ai Implementation jobs in Michigan? For Remote Ai Implementation jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Remote Ai Implementation jobs? Cities in Michigan with the most Remote Ai Implementation job openings:
Infographic showing various Remote Ai Implementation job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

$93K - $122K/yr

Full-time

Re-posted 12 hours ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 537 rated manufacturers


Job description

Are you passionate about leading the development of practical AI solutions that can scale across an enterprise environment?At Corning, we are looking for a Lead AI Engineer to help guide the design, development, implementation, and support of AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical Communications.This role is part of our Digital & IT organization and is focused on providing technical direction for enterprise AI solutions through architecture, application development, Python, APIs, LLM-enabled solutions, Agile delivery, and platform integration. This is not a pure research or model-training role. We are looking for a technical leader who can help guide AI Engineers and Senior AI Engineers while supporting scalable, maintainable, and business-focused AI capabilities.

What do you need to have?


- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
- 7+ years of relevant experience in software engineering, AI engineering, application development, platform engineering, automation, integration development, or related technical solution delivery.
- Experience leading technical work, guiding engineers, coordinating projects, or providing architecture and technical direction.
- Strong background with Python or strong technical understanding of Python-based development.
- Experience working with APIs, JSON payloads, integrations, application development, and service-based solutions.
- Experience with AI-enabled applications, LLM-based solutions, chatbots, RAG solutions, agents, automations, or model-connected workflows.
- Experience applying Agile methodology in technical delivery environments.
- Ability to create technical vision, architecture, and implementation direction for complex solutions.
- Strong communication skills with the ability to partner with technical teams, business stakeholders, and leadership.
- Ability to mentor engineers and help improve engineering practices.
- Advanced English communication skills.

What would be a plus?


-Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant initiatives.
-Experience with MCP development or agentic AI solution patterns.
-Experience with Databricks or Databricks Genie Spaces.
-Experience with model-serving endpoints or managed AI services.
-Experience with prompt engineering, orchestration patterns, or AI workflow automation.
-Experience with tools such as ChatGPT, Claude, Copilot, Codex, or similar AI-assisted development tools.
-Cloud experience with Azure, AWS, or GCP.
-Experience defining reusable architecture patterns, technical standards, or engineering governance.
-Experience in manufacturing technology, enterprise software, automation, workflow platforms, internal productivity platforms, or cloud/data platform engineering.
People management, technical lead, or project leadership experience.

What should we offer?

-Opportunity to help build and lead a growing AI engineering capability within Corning Optical Communications.
-Exposure to modern AI technologies, LLM applications, AI agents, chatbot/RAG solutions, automation, and enterprise integrations.
-A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office presence as needed.
-Opportunity to define technical direction, architecture, and standards for scalable enterprise AI solutions.
-Ability to mentor engineers and influence how AI is adopted and scaled across the organization.
-Career growth in AI technical leadership, enterprise architecture, AI platform enablement, and digital transformation.

More about us
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
 


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