Job Description
We are pioneering the infrastructure for the year 2026. In this pivotal role, you won't just write code; you will define the trajectory of synthetic intelligence and human-machine collaboration. We are looking for a visionary Lead AI Architect to spearhead the development of next-generation neural networks that will power our flagship product through the decade.
As a leader in the '2026' niche, you will bridge the gap between theoretical quantum computing potential and practical, scalable AI deployment. You will work in a high-performance environment where innovation is not just encouraged, but required.
Why Join Us?
- Work on the frontier of Future Tech and Next-Gen AI.
- Competitive equity package and performance bonuses.
- State-of-the-art hardware and research facilities in downtown SF.
Responsibilities
- Architect and implement scalable, fault-tolerant machine learning systems designed for the demands of 2026.
- Lead a team of elite data scientists and engineers in R&D initiatives focused on generative AI and predictive modeling.
- Define the technical roadmap for our proprietary algorithms, ensuring they remain at the cutting edge of industry standards.
- Collaborate with product managers to translate complex technical requirements into robust engineering solutions.
- Optimize deep learning models for real-time inference on edge devices.
- Establish best practices for data governance and model security.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field with a focus on Artificial Intelligence.
- 10+ years of experience in software engineering, with at least 5 years in a senior AI or Machine Learning architecture role.
- Proven expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Deep understanding of Large Language Models (LLMs) and their integration into enterprise workflows.
- Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies.
- Exceptional leadership skills with a track record of mentoring high-performing technical teams.