Job Description
We are looking for a visionary Senior AI Architect to define the technological landscape of 2026 and beyond. At Nexus Future Technologies, we are building the infrastructure for tomorrow’s intelligence today. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and autonomous systems, this is your opportunity to lead a world-class engineering team.
In this pivotal role, you will design scalable machine learning systems, mentor top-tier engineers, and bridge the gap between theoretical AI research and production-grade applications. You will work at the intersection of deep learning, neural architecture search, and ethical AI implementation.
Why Join Us?
- Work on cutting-edge projects that define the future of humanity.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a premium office in SF.
Responsibilities
- Architect and deploy scalable deep learning models designed for the 2026 computing paradigm.
- Lead the research and implementation of next-generation Neural Networks and Reinforcement Learning agents.
- Establish best practices for MLOps, ensuring high availability and low-latency inference.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
- Define the technical roadmap for AI infrastructure, anticipating hardware-software co-design needs.
- Mentor and develop the next generation of AI researchers and engineers.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI.
- 10+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
- Proven track record of deploying large-scale ML systems serving millions of users.
- Strong understanding of Natural Language Processing (NLP) and Computer Vision.
- Experience with hardware acceleration (TPU, GPU) and edge computing deployment.