Job Description
Are you ready to architect the future of artificial intelligence? Nexus Future Labs is seeking a visionary 2026 AI Strategy Lead to spearhead our next-generation roadmap. As we approach the pivotal year of 2026, we need a strategic thinker who can bridge the gap between cutting-edge technology and real-world business impact.
In this role, you won't just manage projects; you will define the ecosystem. You will lead a cross-functional team of engineers, data scientists, and product managers to build the intelligent systems that will define the industry standard for the next decade.
If you are passionate about shaping the trajectory of AI and thrive in a fast-paced, high-impact environment, we want to meet you.
Responsibilities
- Define the 2026 Vision: Create and communicate a comprehensive AI strategy that aligns with the company's long-term goals and market positioning.
- Lead Innovation: Identify and prototype emerging technologies (e.g., Generative AI, Autonomous Systems) to ensure we remain ahead of the curve.
- Cross-Functional Leadership: Mentor and manage high-performing teams, fostering a culture of innovation, collaboration, and technical excellence.
- Stakeholder Management: Translate complex technical concepts into compelling narratives for C-suite executives and external partners.
- Roadmap Execution: Oversee the end-to-end delivery of AI initiatives, ensuring milestones are met with precision and quality.
- Ethical AI Oversight: Establish guidelines and frameworks to ensure responsible and ethical AI development and deployment.
Qualifications
- Strategic Experience: 10+ years of experience in AI, Machine Learning, or Data Science, with at least 5 years in a leadership or strategic management role.
- Tech Stack: Deep expertise in Python, TensorFlow, PyTorch, and modern cloud architectures (AWS/Azure/GCP).
- Visionary Mindset: Proven ability to anticipate industry trends and translate them into actionable business strategies.
- Communication: Exceptional verbal and written communication skills, with the ability to influence diverse audiences.
- Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
- Problem Solving: Demonstrated track record of solving complex problems with scalable technical solutions.