Job description
Director of Generative AI | Fully remote | Great Comp
A pioneering technology organization is seeking a visionary Director of Generative AI Engineering. In this key leadership position, you will spearhead the integration of generative AI into sophisticated, science-based products and services. If you’re passionate about pushing the boundaries of innovation and eager to lead a talented, cross-disciplinary team, this role offers an exceptional opportunity to shape the future of AI-driven solutions.
Key Responsibilities
Qualifications & Experience
Why Join?
A pioneering technology organization is seeking a visionary Director of Generative AI Engineering. In this key leadership position, you will spearhead the integration of generative AI into sophisticated, science-based products and services. If you’re passionate about pushing the boundaries of innovation and eager to lead a talented, cross-disciplinary team, this role offers an exceptional opportunity to shape the future of AI-driven solutions.
Key Responsibilities
- Strategic Innovation: Drive the company’s AI roadmap, adopting cutting-edge technologies and methodologies to enhance product capabilities.
- Technical Leadership: Architect, develop, and deploy scalable generative AI solutions, integrating them with existing scientific and engineering platforms.
- Cross-Functional Collaboration: Partner with diverse teams, from research and operations to finance and commercial, to ensure seamless AI adoption across the organization.
- Team & Culture Building: Mentor and develop internal AI expertise, fostering an environment of continuous learning and scientific rigor.
- Thought Leadership: Stay ahead of industry trends and serve as a visible advocate for generative AI, representing the company in external forums and shaping broader strategic initiatives.
Qualifications & Experience
- Deep AI Expertise: Proven track record in designing and implementing generative AI and related ML technologies.
- Scientific Rigor: Comfortable working with data-intensive, science-focused applications in fields like chemistry, process engineering, or similar domains.
- Leadership & Collaboration: Demonstrated success leading interdisciplinary teams and aligning AI strategies with broader business goals.
- Technical Background: Graduate degree (Ph.D. preferred) in AI, Machine Learning, Computer Science, Chemical Engineering, or a closely related field.
- Innovation & Execution: Skilled in rapid prototyping and scalable deployment of AI solutions, balancing agility with robust scientific methodology.
Why Join?
- High Impact: Shape mission-critical AI initiatives that redefine how complex scientific and engineering challenges are solved.
- Innovative Culture: Work in an environment that values research excellence, collaboration, and continuous improvement.
- Career Growth: Lead the charge on emerging AI technologies, positioning yourself at the forefront of innovation in a fast-evolving industry.