Job Description
Are you ready to define the technological landscape of the future? FutureScale Systems is pioneering the 2026 Horizon Initiative, a massive undertaking to architect the next generation of autonomous, quantum-ready AI systems. We are looking for a visionary Senior AI Architect to lead our core infrastructure strategy and set the standard for what is possible in the year 2026 and beyond.
The Opportunity
In this role, you won't just write code; you will define the architectural DNA of our products. You will bridge the gap between theoretical AI research and scalable, production-ready engineering. Join a team of elite engineers and futurists dedicated to solving humanity's most complex data challenges.
Why Join Us?
- Work on the cutting edge of AI and Quantum Computing integration.
- Competitive base salary and equity package.
- Flexible remote-first policy with headquarters in San Francisco.
- Access to state-of-the-art hardware and cloud resources.
Key Responsibilities
- Lead the architectural design for the 2026 AI infrastructure roadmap, ensuring scalability, security, and performance.
- Oversee the integration of Deep Learning models into real-time production environments.
- Collaborate with cross-functional teams including Product, Data Science, and Security to align technical vision with business goals.
- Establish best practices for code quality, CI/CD pipelines, and system monitoring.
- Research emerging technologies (e.g., Neuromorphic Computing, Edge AI) to determine feasibility for the 2026 roadmap.
- mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Conduct technical due diligence for strategic partnerships and acquisitions.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, C++, and distributed systems.
- Proven experience designing systems for high availability and massive scale.
- Strong understanding of Machine Learning frameworks (TensorFlow, PyTorch, JAX).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Exceptional leadership and communication skills, capable of translating complex technical concepts to stakeholders.
Responsibilities
- Lead the architectural design for the 2026 AI infrastructure roadmap, ensuring scalability, security, and performance.
- Oversee the integration of Deep Learning models into real-time production environments.
- Collaborate with cross-functional teams including Product, Data Science, and Security to align technical vision with business goals.
- Establish best practices for code quality, CI/CD pipelines, and system monitoring.
- Research emerging technologies (e.g., Neuromorphic Computing, Edge AI) to determine feasibility for the 2026 roadmap.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Conduct technical due diligence for strategic partnerships and acquisitions.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, C++, and distributed systems.
- Proven experience designing systems for high availability and massive scale.
- Strong understanding of Machine Learning frameworks (TensorFlow, PyTorch, JAX).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Exceptional leadership and communication skills, capable of translating complex technical concepts to stakeholders.