Job Description
We are not just predicting the future; we are architecting it. Nexus Horizon Systems is leading the charge into the 2026 era of autonomous intelligence. We are seeking a visionary Senior AI Architect to lead the core development of our flagship Project 2026βa revolutionary neural processing engine designed to redefine human-machine interaction.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. You will work alongside world-class engineers, ethicists, and futurists to build systems that are not only powerful but also aligned with a sustainable, beneficial future. If you are ready to leave your mark on the trajectory of 2026, we want to hear from you.
Why Nexus Horizon?
β’ Competitive compensation and equity packages.
β’ Flexible remote-first culture with premium San Francisco office access.
β’ Access to cutting-edge hardware and research facilities.
Responsibilities
- Architect Core Systems: Design and implement scalable, high-performance neural network architectures specifically tailored for the Project 2026 roadmap.
- Lead Technical Vision: Define the technical strategy for integrating Generative AI, Predictive Analytics, and Autonomous Decision-making into our ecosystem.
- Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting rigorous code reviews.
- Optimization: Drive performance optimization for latency and throughput in real-time data processing pipelines.
- Collaboration: Partner with product managers and data scientists to translate complex 2026 objectives into actionable technical specifications.
Qualifications
- Education: Masterβs degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior or lead architect role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Specialization: Proven track record in Natural Language Processing (NLP) or Computer Vision, with a focus on large language models.
- Leadership: Demonstrated ability to lead cross-functional teams through complex technical challenges.