Job Description
We are on the cusp of a technological revolution. Nexus Future Labs is seeking a visionary AI Strategy Director to lead our operations through the pivotal year of 2026 and beyond.
In this role, you will not just manage AI; you will architect the very fabric of our future digital infrastructure. You will bridge the gap between theoretical quantum computing and practical machine learning applications, ensuring our products remain at the cutting edge of the industry.
Why join us? We offer a competitive salary, equity package, and the opportunity to define the roadmap for the next generation of intelligent systems.
Responsibilities
- Orchestrate the 2026 Roadmap: Define and execute the strategic vision for AI integration, focusing on scalability and quantum-readiness by 2026.
- Model Governance: Establish rigorous frameworks for ethical AI usage, ensuring compliance with evolving global regulations.
- Technical Leadership: Partner with engineering teams to integrate advanced neural networks into core product ecosystems.
- Market Analysis: Identify emerging trends in generative AI and predictive analytics to maintain a competitive advantage.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and C-suite executives to translate technical capabilities into business value.
- Innovation Labs: Spearhead internal R&D initiatives to prototype next-generation AI solutions.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 10+ years of experience in AI/ML architecture, with at least 3 years in a senior leadership or directorial role.
- Technical Mastery: Deep understanding of machine learning algorithms, natural language processing (NLP), and quantum computing concepts.
- Strategic Vision: Proven track record of defining long-term technical strategies for high-growth tech companies.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Tools: Proficiency in Python, TensorFlow, PyTorch, and cloud architecture (AWS/GCP/Azure).