Job Description
Are you ready to architect the future of intelligent systems? 2026 Systems is a forward-thinking technology leader pioneering the next generation of quantum-inspired computing solutions. We are seeking a visionary Senior AI Architect to join our elite engineering team in San Francisco.
In this pivotal role, you will define the technical roadmap for our flagship products, bridging the gap between theoretical AI research and scalable production infrastructure. You will lead a team of top-tier engineers, ensuring that our systems are not only robust and secure but also at the cutting edge of performance. If you thrive in a high-stakes environment and want to build technology that defines the industry standard, this is your opportunity.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure capable of handling petabyte-scale data processing.
- Lead technical strategy and mentorship for engineering teams, fostering a culture of innovation and excellence.
- Oversee the end-to-end software development lifecycle, from concept and design to deployment and maintenance.
- Collaborate with cross-functional stakeholders to translate complex business requirements into technical specifications.
- Implement rigorous testing and validation protocols to ensure system reliability and fault tolerance.
- Stay abreast of emerging technologies and industry trends to drive continuous improvement and competitive advantage.
- Drive the adoption of best practices in cloud computing, containerization, and microservices architecture.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
- 10+ years of experience in software engineering with a strong focus on AI, Machine Learning, and Distributed Systems.
- Expert proficiency in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
- Proven experience designing scalable systems on major cloud platforms (AWS, GCP, or Azure).
- Strong understanding of system architecture patterns, including microservices, event-driven architectures, and serverless computing.
- Demonstrated ability to lead high-performance teams and manage complex project lifecycles.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse audiences.