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Generative Ai Innovation Center Jobs in Michigan

Judge Group, Inc.

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 ...

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Generative Ai Innovation Center information

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 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 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.
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Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Re-posted 20 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

173rd of 223 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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