Job Description
Are you ready to architect the AI of tomorrow?
Nexus Future Labs is a pioneer in next-generation artificial intelligence, dedicated to building the systems that will define the Year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research and development efforts in Generative AI, Large Language Models (LLMs), and autonomous agent systems.
In this pivotal role, you will not just write code; you will define the technical roadmap for our flagship products. You will bridge the gap between theoretical research and scalable production systems, ensuring our AI solutions are robust, ethical, and cutting-edge.
Join us in shaping the future of technology. If you are passionate about pushing the boundaries of what's possible in 2026, we want to hear from you.
Responsibilities
- Lead Technical Vision: Define and execute the technical strategy for AI infrastructure, ensuring alignment with the 2026 roadmap and industry leadership.
- Model Development: Design, train, and optimize state-of-the-art Large Language Models (LLMs) and neural networks for high-performance applications.
- System Architecture: Build scalable, fault-tolerant systems capable of handling billions of inference requests with low latency.
- Research & Innovation: Stay ahead of the curve in AI advancements (e.g., AGI trends, multimodal learning) and integrate novel techniques into our core stack.
- Mentorship: Guide a team of world-class data scientists and engineers, fostering a culture of innovation and continuous learning.
- Collaboration: Work closely with product managers and stakeholders to translate complex AI capabilities into user-friendly applications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior or lead architectural role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of transformer architectures and attention mechanisms.
- Infrastructure: Extensive experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Kubernetes/Docker).
- Problem Solving: Proven track record of solving complex technical challenges and optimizing large-scale distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to diverse audiences.