Job Description
Are you ready to define the trajectory of artificial intelligence? Nexus Horizon AI is seeking a visionary **Strategic AI Lead** to spearhead our operations and roadmap for the year 2026. In this high-impact role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable solutions. We are looking for a thought leader who can anticipate market shifts, drive innovation, and build the technological infrastructure that will define the next decade of tech.
Join us in shaping the future of intelligent systems and become a key architect in the AI revolution.
Join us in shaping the future of intelligent systems and become a key architect in the AI revolution.
Responsibilities
- Strategic Vision: Develop and execute a comprehensive AI roadmap specifically tailored for the 2026 technology landscape, identifying emerging trends like AGI and quantum computing integration.
- Technical Leadership: Oversee the architecture and deployment of advanced AI models, ensuring they are scalable, secure, and ethically aligned.
- Cross-Functional Collaboration: Partner with product, engineering, and executive teams to translate complex technical concepts into business strategies.
- Research & Innovation: Continuously monitor the global tech ecosystem to identify disruptive technologies that could position Nexus Horizon AI as a market leader.
- Team Building: Recruit, mentor, and cultivate a world-class engineering team focused on high-performance AI solutions.
- Stakeholder Management: Present complex technical roadmaps to C-level executives and investors with clarity and confidence.
Qualifications
- Experience: Minimum of 10 years of experience in Artificial Intelligence, Machine Learning, or Strategic Technology roles, with a proven track record of leading teams.
- Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/Azure/GCP).
- Strategic Mindset: Demonstrated ability to forecast industry trends and translate them into actionable 2026 roadmaps.
- Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field is highly preferred.
- Leadership: Exceptional communication skills with the ability to influence stakeholders at all levels.
- Problem Solving: Proven track record of solving complex, ambiguous problems in dynamic environments.