Job Description
Join Nexus Horizon Labs at the forefront of the 2026 technological revolution. We are pioneering the next generation of predictive intelligence and autonomous systems. As a Lead AI Architect, you will define the core architecture for our flagship Project 2026 initiative, building the foundation for a smarter future.
We are looking for visionary engineers who are not just keeping up with trends but are actively shaping the landscape of artificial general intelligence and quantum-assisted computing. This is a high-impact role requiring deep technical expertise and a passion for solving the world's most complex problems.
Why Join Us?
- Work on cutting-edge technology that will define the industry in 2026 and beyond.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art office amenities in downtown SF.
- Continuous learning budget and access to the latest hardware.
Responsibilities
- Lead the architectural design of the Project 2026 neural network infrastructure, ensuring scalability and efficiency.
- Oversee the migration of legacy data systems to quantum-ready cloud environments.
- Define data governance frameworks and model deployment strategies for high-frequency predictive analytics.
- Collaborate with product managers and researchers to translate abstract concepts into robust technical solutions.
- Mentor senior engineers and foster a culture of technical excellence and innovation.
- Conduct rigorous code reviews and architectural audits to maintain system integrity.
Qualifications
- 10+ years of experience in AI, Machine Learning, or Computational Neuroscience.
- Proven track record of deploying large-scale ML models in production environments.
- Expertise in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
- Strong understanding of distributed systems, microservices, and edge computing.
- PhD or Master's degree in Computer Science, Physics, or a related technical field is preferred.
- Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.