Job Description
We are on the cusp of a technological paradigm shift. As a leader in the 2026 niche, Nexus Future Systems is seeking a visionary Future Tech AI Lead to architect the artificial intelligence infrastructure that will define the coming decade.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable enterprise deployment. You will be responsible for steering our roadmap toward the year 2026, ensuring our AI models are not only advanced but ethically sound and commercially viable. If you thrive in ambiguity and are passionate about shaping the future, we want to hear from you.
Key Areas of Focus:
- Strategic Vision: Define the 5-year AI roadmap, specifically targeting the technological milestones of 2026.
- Research & Development: Oversee the development of proprietary Generative AI models and Large Language Models (LLMs).
- Team Leadership: Build and mentor a world-class team of data scientists, ML engineers, and AI ethicists.
- Product Integration: Lead the integration of autonomous agents into our core product suite.
Join us in building the foundation for the future of technology.
Responsibilities
- Define and execute the comprehensive AI strategy for the 2026 roadmap.
- Lead the architecture and development of next-generation machine learning systems.
- Collaborate with product teams to identify high-impact AI use cases.
- Establish best practices for AI governance, security, and compliance.
- Present technical visions to executive stakeholders and investors.
- Stay ahead of industry trends to ensure our technology remains at the forefront.
- Manage the budget and resources for the AI R&D department.
Qualifications
- 10+ years of experience in Artificial Intelligence, Machine Learning, or Deep Learning.
- Proven track record of leading technical teams and managing large-scale projects.
- Expert knowledge of Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of NLP, Computer Vision, or Generative AI architectures.
- Experience in a startup or high-growth tech environment is highly preferred.
- Excellent communication skills with the ability to translate complex concepts for diverse audiences.
- Master’s degree in Computer Science, Engineering, or a related technical field.