Job Description
We are looking for a visionary Lead AI Architect to spearhead Project 2026, our ambitious initiative to redefine the boundaries of generative computing and autonomous systems. If you thrive on solving the unsolvable and building infrastructure for tomorrow, this is your opportunity to lead the charge in a high-stakes, high-impact environment.
In this role, you will architect the foundational layers of our next-generation neural networks and quantum-ready data pipelines. You will work directly with the CTO and a world-class team of engineers to ensure our systems are scalable, secure, and infinitely adaptable. Join Apex Horizon Systems and help build the future that the world is not yet ready for.
Why join us?
- Work on ground-breaking technology that will define the industry standards for 2026 and beyond.
- Competitive compensation package including equity options.
- Flexible remote-first culture with premium office amenities in downtown SF.
- Unlimited PTO and top-tier health benefits.
Responsibilities
- Architect and deploy scalable AI infrastructure capable of processing petabytes of real-time data for Project 2026.
- Lead the design of robust machine learning pipelines, ensuring high availability and fault tolerance across distributed cloud environments.
- Collaborate with data scientists and security experts to implement cutting-edge encryption and privacy protocols for sensitive datasets.
- Mentor and mentor junior engineers, fostering a culture of continuous innovation and technical excellence.
- Define technical roadmaps and best practices for AI model deployment and lifecycle management.
- Conduct rigorous code reviews and architectural audits to prevent technical debt and security vulnerabilities.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering and architecture, with at least 5 years specifically in AI/ML infrastructure.
- Deep expertise in Python, Go, and modern containerization technologies (Kubernetes, Docker).
- Proven track record of designing systems that scale to millions of requests per second.
- Familiarity with quantum computing architectures and their integration into classical computing workflows.
- Strong understanding of distributed systems theory, database technologies (SQL/NoSQL), and cloud platforms (AWS/Azure).
- Exceptional leadership skills with a history of leading high-performing engineering teams.