Job Description
We are at the precipice of a technological renaissance. As a pioneer in the 2026 niche, Nexus Future Systems is seeking a visionary Head of AI Strategy & Operations to architect the next generation of intelligent enterprise solutions. You will bridge the gap between futuristic research and tangible business outcomes, leading a team dedicated to shaping the operational landscape of tomorrow.
Why Join Us?
We are not just building for today; we are engineering the future. As a member of our elite team, you will work in a state-of-the-art environment that prioritizes ethical AI, quantum-ready infrastructure, and human-centric design. You will have the autonomy to define how artificial intelligence integrates into our core products, ensuring we remain the market leader in 2026 and beyond.
Responsibilities
- Strategic Roadmapping: Define and execute a comprehensive AI strategy roadmap for 2026, aligning technical capabilities with long-term business objectives.
- Operational Leadership: Lead, mentor, and scale a high-performing team of data scientists, AI engineers, and operations specialists.
- GenAI Integration: Oversee the deployment and optimization of Generative AI models across the organization, ensuring seamless integration into existing workflows.
- Infrastructure & Scalability: Architect scalable AI infrastructure that supports edge computing and real-time data processing for global markets.
- Compliance & Ethics: Establish robust governance frameworks to ensure AI systems adhere to international regulatory standards and ethical guidelines.
- Pipeline Management: Manage the end-to-end AI product lifecycle, from ideation and prototyping to production deployment and maintenance.
Qualifications
- Experience: Minimum of 10+ years in a senior leadership role within the tech industry, with a specific focus on Artificial Intelligence or Machine Learning.
- Education: Master’s degree in Computer Science, Data Science, or an MBA with a technical focus.
- Technical Expertise: Deep understanding of Large Language Models (LLMs), neural networks, and machine learning operations (MLOps).
- Strategic Vision: Proven track record of translating complex technical concepts into scalable business strategies.
- Leadership: Exceptional ability to lead cross-functional teams and drive organizational change.
- Regulatory Knowledge: Familiarity with global AI compliance standards, including the EU AI Act and emerging US regulations.