Job Description
Are you ready to define the architecture of tomorrow? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our R&D efforts for the 2026 era of artificial intelligence.
In this role, you will be responsible for designing scalable, robust, and ethical AI systems that push the boundaries of what is possible. We are building the foundation for autonomous agents and next-gen generative models, and we need a technical leader who can bridge the gap between theoretical research and production-grade engineering.
Join us in San Francisco and help shape the future of intelligent machines.
Responsibilities
- Design & Architecture: Spearhead the design of next-generation neural network architectures optimized for the 2026 computing landscape.
- Model Optimization: Improve model efficiency, reduce latency, and increase throughput for real-time AI applications.
- Research Implementation: Translate cutting-edge academic research into production-ready code and deployable models.
- Technical Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and best practices.
- Collaboration: Work closely with product teams to integrate advanced AI capabilities into our core software suite.
- AI Safety: Implement rigorous testing and validation protocols to ensure model reliability and ethical alignment.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in Deep Learning, specifically with Transformers, LLMs, or diffusion models.
- Programming: Expert-level proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Infrastructure: Strong experience with distributed training, high-performance computing (HPC), and cloud infrastructure (AWS/GCP).
- Mathematics: Deep understanding of linear algebra, calculus, probability, and statistical inference.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.