Job Description
Nexus Future Labs is pioneering the technology stack for the year 2026. We are seeking a visionary Lead AI Architect to spearhead our research in Artificial General Intelligence (AGI) and sustainable computing solutions.
In this pivotal role, you will bridge the gap between theoretical research and practical application, ensuring our systems are resilient, scalable, and ethically aligned with the demands of the future. You will be at the forefront of innovation, shaping the tools and frameworks that will define the next decade of technology.
Why Join Us?
Be part of a team that is not just keeping up with the future, but defining it. We offer competitive compensation, equity packages, and the opportunity to work on high-impact projects that will impact the world in 2026 and beyond.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable neural network architectures optimized for high-frequency trading and autonomous decision-making.
- Strategic R&D: Lead the research roadmap for integrating quantum computing concepts into classical AI models.
- Model Optimization: Reduce latency and improve inference accuracy for edge computing applications in smart cities.
- Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- System Integration: Oversee the seamless integration of AI modules into our core product ecosystem.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 10+ years of experience in software engineering and AI development, with at least 3 years in a senior leadership role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and C++.
- Knowledge: Strong understanding of transformer models, reinforcement learning, and distributed systems.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver pragmatic, high-quality solutions.