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Generative Ai Innovation Center Jobs in Michigan

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

AI transformation and digital innovation programs * AI roadmap development * Copilot and Generative AI initiatives * Consulting experience * Executive stakeholder engagement * Organizational AI ...

AI Specialist

Rochester, MI · On-site

$120 - $180/hr

Experience leading AI innovation programs or enterprise AI adoption initiatives. * Experience developing AI governance frameworks and responsible AI practices. * Knowledge of Generative AI, Large ...

New

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

You'll be part of a mission-driven team that values innovation, collaboration, and making a ... Build and integrate Generative AI solutions utilizing large language models (LLMs) to create ...

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

... drive innovation and efficiency. You will work closely with cross-functional teams-including ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

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Generative Ai Innovation Center information

What is a Generative AI Innovation Center?

A Generative AI Innovation Center is a dedicated hub or team within an organization focused on researching, developing, and implementing generative artificial intelligence solutions. These centers aim to accelerate AI-driven innovation by exploring new algorithms, creating prototypes, and deploying generative AI models for business applications such as content creation, design, and data analysis. They often collaborate with various departments, external partners, and experts to stay at the forefront of AI advancements and ensure responsible, ethical use of generative technologies.

What are the key skills and qualifications needed to thrive in a Generative AI Innovation Center role, and why are they important?

To thrive in a Generative AI Innovation Center, you need a strong background in computer science, machine learning, and data analysis, typically supported by advanced degrees or relevant experience. Familiarity with AI frameworks like TensorFlow or PyTorch, cloud platforms, and experience with large language models are commonly required. Creativity, problem-solving, and collaboration are crucial soft skills for innovating and working effectively within multidisciplinary teams. These skills ensure the ability to drive cutting-edge AI solutions, foster innovation, and deliver impactful projects in a rapidly evolving field.

What are some common challenges faced by professionals working in a Generative AI Innovation Center, and how can applicants prepare for them?

Professionals in a Generative AI Innovation Center often encounter challenges such as keeping up with rapid advancements in AI technologies, integrating new models into existing systems, and collaborating across interdisciplinary teams. Applicants can prepare by regularly updating their knowledge on state-of-the-art AI research, developing strong communication skills to bridge gaps with non-technical stakeholders, and gaining experience in deploying scalable AI solutions. Adaptability and a proactive approach to continuous learning are vital for thriving in this fast-paced environment.

What is the difference between Generative Ai Innovation Center vs Data Scientist?

AspectGenerative Ai Innovation CenterData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; specialized training in generative modelsBachelor's or master's in data science, statistics, or related fields; programming skills
Work EnvironmentResearch labs, innovation hubs, collaborative teams focused on AI developmentData analysis, modeling, and visualization in corporate or research settings
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI innovationBusinesses across industries using data insights for decision-making

The Generative Ai Innovation Center focuses on developing and advancing generative AI technologies, often within research or innovation hubs. Data Scientists analyze data, build models, and support AI projects but typically do not lead innovation centers. While both roles require strong technical skills, the Innovation Center is more research-oriented, whereas Data Scientists work across various industries applying data analysis techniques.

What are popular job titles related to Generative Ai Innovation Center jobs in Michigan?

For Generative Ai Innovation Center jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Generative Ai Innovation Center jobs in Michigan look for?

The top searched job categories for Generative Ai Innovation Center jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai Innovation Center jobs?

Cities in Michigan with the most Generative Ai Innovation Center job openings:

$60 - $65/hr

Other

Re-posted 9 days ago


Job description

Location: Pontiac, MI Salary: $60.00 USD Hourly - $65.00 USD Hourly Description:
Job Title: AI Specialist
Location: Pontiac, MI 48341
Duration: 3-Month Contract

Position Overview
Seeking an experienced AI specialist to lead the design, development, and implementation of an enterprise AI innovation program. This individual will assess organizational readiness, establish AI governance and operating models, identify high-value AI opportunities, and guide the development and deployment of AI solutions that drive measurable business value.
Key Responsibilities
  • Lead enterprise AI innovation initiatives and strategic AI adoption.
  • Assess organizational AI readiness and innovation capabilities.
  • Develop AI governance frameworks, operating models, and success metrics.
  • Collaborate with business and technical stakeholders to identify AI use cases.
  • Gather business and technical requirements for AI initiatives.
  • Design, develop, train, validate, and deploy AI/ML solutions.
  • Create AI roadmaps and prioritize innovation projects.
  • Drive AI education, adoption, and change management efforts.
  • Evaluate emerging AI technologies and recommend strategic implementation.
  • Ensure AI solutions align with technology standards and business objectives.
  • Required Qualifications
  • Experience designing and implementing enterprise AI solutions.
  • Experience leading AI innovation, transformation, or modernization initiatives.
  • Strong stakeholder management and executive communication skills.
  • Ability to gather requirements and translate business needs into AI solutions.
  • Knowledge of AI/ML model development, validation, and deployment.
  • Experience developing AI roadmaps, governance models, and innovation frameworks.
  • Strong organizational change management and collaboration skills.
  • Ability to evaluate emerging AI technologies and industry trends.

Technical Environment
  • Programming: Python, R
  • AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
  • Generative AI: Copilot, LLMs, RAG, Enterprise AI Platforms
  • Big Data: Apache Spark, Databricks
  • Cloud: AWS (SageMaker, EC2, S3), Azure Machine Learning, Azure Databricks
  • Databases: SQL, NoSQL
  • Visualization: Power BI, Tableau

Preferred Experience
  • Enterprise AI governance and operating models
  • AI transformation and digital innovation programs
  • AI roadmap development
  • Copilot and Generative AI initiatives
  • Consulting experience
  • Executive stakeholder engagement
  • Organizational AI adoption and change management
  • Enterprise architecture and innovation leadership

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