Job Description
Join the Architects of Tomorrow.
Nexus Future Labs is pioneering the next generation of Artificial General Intelligence (AGI) and is seeking a visionary Lead AI Architect to define the technical roadmap for our 2026 breakthrough products. If you are passionate about building systems that will shape the future of humanity, we want to hear from you.
In this pivotal role, you will bridge the gap between theoretical research and scalable engineering, leading a team of elite engineers to deploy models that push the boundaries of what is currently possible. You will work in a fast-paced, high-impact environment where your decisions today define the trajectory of our technology in 2026 and beyond.
Why Join Us?
- Impact: Work on projects that will redefine industry standards.
- Innovation: Access to cutting-edge compute and research.
- Culture: A diverse, inclusive, and elite team of thought leaders.
Responsibilities
- Define the 2026 Roadmap: Spearhead the architectural strategy for our core AI infrastructure, ensuring scalability, security, and efficiency for next-gen models.
- Technical Leadership: Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation within the team.
- System Optimization: Design and implement high-performance distributed systems capable of handling petabyte-scale data processing in real-time.
- Research Integration: Translate the latest advancements in Deep Learning and Neural Architecture Search (NAS) into production-ready code.
- Collaboration: Work closely with product managers and C-level executives to align technical strategy with business objectives.
- Security & Compliance: Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations (GDPR, CCPA).
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI/ML architecture.
- Technical Stack: Proficiency in Python, C++, and distributed computing frameworks (PyTorch, TensorFlow, JAX).
- System Design: Deep understanding of large-scale distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure).
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous problems with creative, scalable solutions.