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Generative Ai Innovation Center Jobs (NOW HIRING)

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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Vista Equity Partners Management

$200K - $315K/yr

This role sits at the center of Vista's Agentic Factory, our methodology for collaborating with ... AI Innovation & Strategy * Serve as a subject matter expert on generative AI, agents, and agentic ...

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Legal AI Innovation Advisor

New York, NY · On-site

$150K - $190K/yr

We are assisting them in seeking an AI Innovation Advisor to drive the adoption, implementation ... Strong understanding of generative AI, prompt engineering, and AI governance. * Proven ability to ...

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Legal AI Innovation Advisor

San Francisco, CA · On-site

$150K - $190K/yr

We are assisting them in seeking an AI Innovation Advisor to drive the adoption, implementation ... Strong understanding of generative AI, prompt engineering, and AI governance. * Proven ability to ...

Axinn

Innovation Manager

Manhattan, NY · On-site

Generative AI & Workflow Development * Design, build, and optimize generative AI workflows for ... Foster a culture of innovation, collaboration, continuous learning, and continuous improvement ...

Elliot Partnership

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly ... A leading technology-driven firm is seeking a Lead Software Developer to drive innovation and ...

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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 Innovation Center jobs near you
Infographic showing various Generative Ai Innovation Center job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Innovation Coordinator

FlatironDragados

Atlanta, GA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
FlatironDragados is focused on shaping the future of construction through innovation. As an AI Innovation Coordinator, you will coordinate AI initiatives across the company, working closely with operations and leadership to identify opportunities and deploy AI-driven automations that improve safety, quality, schedule, and cost performance.
Responsibilities:
• Coordinate AI innovation initiatives, pilots, and workshop activities focused on heavy civil construction operations.
• Partner with Company and Operations leadership to design, test, and implement AI agents and automations in project and corporate workflows.
• Research and analyze AI opportunities (e.g., predictive analytics, computer vision, document intelligence, planning/scheduling tools) and assess their practical application in the field and office.
• Support and coordinate data collection, data modelling, and testing sessions to evaluate AI use cases and prepare them for project deployment.
• Work closely with internal champion groups to develop innovation tools, training content, software standards, and implementation roadmaps.
• Help define and maintain guidelines, procedures, and best practices for AI use across the organization, including responsible and ethical use.
• Promote awareness, adoption, and effective use of AI tools by delivering demos, training sessions, and ongoing support for project teams.
• Track performance metrics, KPIs and lessons learned from AI initiatives and communicate outcomes to stakeholders.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Construction Management, Computer Science, Data Science, or a related field; or
• 5+ years of experience applying AI / advanced digital tools in heavy civil construction
• Experience with computer applications and productivity tools (e.g., Microsoft 365 / MS Office Suite).
• Exposure to or hands-on experience with emerging technologies such as IoT, machine learning, robotics, or advanced analytics.
• Ability to interpret contract documents, construction drawings, specifications, and assess constructability.
• Demonstrated interest in AI tools, platforms, and systems that drive efficiencies in the construction industry (e.g., generative AI, document automation, predictive insights).
• Comfortable learning new software quickly and translating technical capabilities into practical field and office workflows.
• Strong problem-solving skills with the ability to structure ambiguous problems and develop actionable solutions.
• Effective communicator who can work with both technical teams and non-technical field/operations teams.
• Collaborative, curious, and proactive—excited to experiment, learn, and help others adopt new ways of working.
• Experience working in a large construction or engineering organization, particularly in heavy civil or infrastructure projects.
• Experience coordinating cross-functional teams and managing small projects or initiatives.
Preferred:
• Experience with technology application in construction and digital transformation (e.g., model-based workflows, field mobility tools, connected equipment, sensor data) is preferred.
• Familiarity with data visualization or basic analytics tools (e.g., Power BI, Tableau, or similar).
Company:
FlatironDragados is a construction company that specializes in civil engineering, infrastructure development, and project execution. Founded in , the company is headquartered in Toronto, CAN, with a team of 5001-10000 employees. The company is currently Late Stage.

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