Job Description
Are you ready to architect the future?
Nexus Horizon Systems is at the forefront of the Vision 2026 initiative, a cutting-edge program dedicated to pioneering the next generation of autonomous AI ecosystems. We are seeking a visionary Lead AI Architect to lead our technical strategy, design scalable infrastructure, and bridge the gap between theoretical research and real-world application.
In this role, you will define the architectural standards for our 2026 roadmap, ensuring our systems are robust, secure, and capable of processing petabytes of real-time data. You will work alongside world-class researchers and engineers to push the boundaries of what is possible in Artificial General Intelligence (AGI) and predictive modeling.
Why join the Vision 2026 team?
- Work on projects that define the technology landscape of the coming decade.
- Competitive equity and stock options in a high-growth unicorn.
- Flexible remote-first policy with access to state-of-the-art research facilities in the Bay Area.
Responsibilities
- Architectural Leadership: Design and implement the core infrastructure for the Vision 2026 AI platform, focusing on distributed systems, high-availability cloud architectures, and edge computing integration.
- Technology Strategy: Evaluate and integrate emerging technologies (e.g., neuromorphic computing, advanced LLMs) to align with the company's 2026 strategic goals.
- Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation, code excellence, and continuous learning.
- Roadmap Execution: Translate high-level business requirements into concrete technical specifications and agile development plans.
- Performance Optimization: Oversee the optimization of neural network inference and training pipelines to reduce latency and increase throughput.
- Cross-Functional Collaboration: Partner with product managers, security experts, and stakeholders to ensure technical solutions meet business needs.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field from a top-tier university.
- Experience: 8+ years of experience in software engineering and AI architecture, with at least 3 years in a leadership or senior architectural role.
- Technical Proficiency: Deep expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks (Kubernetes, Docker). Experience with quantum computing concepts is a plus.
- System Design: Proven track record of designing scalable, fault-tolerant systems capable of handling millions of concurrent users.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Innovation: A strong passion for exploring the frontiers of AI and a history of patenting or publishing research.