Job Description
We are looking for a visionary AI Strategy Director to lead our forward-thinking initiatives, specifically tasked with architecting the technological landscape for the year 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable business application. You will be responsible for identifying emerging trends, from Generative AI evolution to AGI readiness, and translating them into actionable roadmaps that secure our market dominance.
Join us in shaping the future of intelligent systems and redefine what is possible for the next generation of technology.
Responsibilities
- Architect the 2026 AI Roadmap: Define the long-term vision for AI integration, ensuring alignment with global market trends and technological capabilities.
- Lead Innovation Labs: Spearhead R&D initiatives focused on next-generation machine learning models and ethical AI frameworks.
- Strategic Partnerships: Identify and cultivate relationships with key players in the AI ecosystem, including research institutions and tech innovators.
- C-Suite Advisory: Provide high-level strategic insights to executive leadership regarding the impact of AI disruption and automation.
- Talent Acquisition & Mentorship: Build and lead a world-class team of AI strategists and engineers, fostering a culture of continuous innovation.
Qualifications
- 10+ Years of Experience: Proven track record in strategic leadership, specifically within the Artificial Intelligence or Technology sector.
- Deep Technical Expertise: Comprehensive understanding of Machine Learning, Deep Learning, and Neural Networks with the ability to communicate complex concepts to non-technical stakeholders.
- Visionary Mindset: Demonstrated ability to anticipate future trends (e.g., 2026 tech landscape) and develop strategic plans to capitalize on them.
- Executive Presence: Exceptional communication and public speaking skills, with experience presenting to boards and investors.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Business Administration, or a related field.