Job Description
Are you ready to define the future? Nexus Future Labs is seeking a visionary Senior AI Architect (2026 Vision) to lead our cutting-edge research division. As we gear up for the pivotal year of 2026, we are building the infrastructure that will power the next generation of autonomous agents and cognitive systems. You will not just be writing code; you will be architecting the backbone of tomorrow's intelligence.
We are looking for a thought leader who is passionate about the ethical implications of AI and is driven by the challenge of scaling neural networks to unprecedented levels of efficiency and capability.
Responsibilities
- Architect the Future: Lead the architectural design of large-scale machine learning models specifically tailored for the 2026 roadmap.
- Optimize Performance: Drive innovation in Generative AI, optimizing models for real-time inference and reduced latency.
- Technical Leadership: Collaborate with product and engineering teams to translate strategic vision into robust, scalable technical solutions.
- Deployment Excellence: Establish best practices for MLOps, CI/CD pipelines, and model deployment in cloud-native environments.
- Research & Development: Conduct rigorous research to validate new algorithms, transformer architectures, and reinforcement learning techniques.
- Mentorship: Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in machine learning engineering, AI research, or a related role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Modeling: Proven track record of designing, training, and deploying production-grade Large Language Models (LLMs).
- Foundational Knowledge: Strong understanding of transformer architectures, attention mechanisms, and deep neural networks.
- Soft Skills: Excellent communication skills to bridge the gap between complex technical concepts and business objectives.