Job Description
We are seeking a visionary Future-Ready AI Strategist to lead our initiatives aimed at defining the technological landscape for the year 2026 and beyond. At Nexus Horizon Labs, we don't just predict the future; we engineer it. You will be at the helm of our strategic planning, ensuring our AI infrastructure is scalable, ethical, and revolutionary.
In this pivotal role, you will bridge the gap between advanced machine learning research and commercial application. You will guide our engineering teams in adopting next-gen architectures while navigating the complex ethical and regulatory landscapes of the coming years.
Responsibilities
- Define and execute the 2026 AI Roadmap, aligning technical capabilities with long-term business objectives.
- Conduct in-depth market analysis to identify emerging trends in generative AI, quantum computing, and autonomous systems.
- Lead cross-functional teams in the integration of cutting-edge technologies into core product lines.
- Establish and enforce AI governance frameworks to ensure compliance and ethical standards.
- Collaborate with C-suite executives to communicate complex technical strategies to non-technical stakeholders.
- Oversee the evaluation of new technologies, prioritizing investments that drive maximum ROI by 2026.
- Mentor junior strategists and engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Minimum of 8 years of experience in strategic planning, AI architecture, or high-level technical leadership.
- Proven track record of delivering large-scale AI solutions in enterprise environments.
- Deep understanding of machine learning lifecycles, including data pipelines, model training, and deployment.
- Strong analytical skills with the ability to translate data insights into actionable business strategies.
- Excellent verbal and written communication skills, with the ability to present to diverse audiences.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.