Job Description
We are 2026, a pioneering technology firm dedicated to shaping the future of artificial intelligence and machine learning infrastructure. We are seeking a visionary Lead AI Systems Architect to join our elite team in San Francisco. In this pivotal role, you will be responsible for architecting the core systems that power our next-generation neural networks and ensuring our platforms are scalable, secure, and high-performance.
At 2026, we don't just follow trends; we define them. We are looking for a technical leader who is passionate about solving complex engineering challenges and driving innovation in the AI space.
Responsibilities
- Design, develop, and maintain high-performance, scalable AI infrastructure and machine learning pipelines.
- Lead architectural decisions for large-scale data processing, model training, and deployment strategies.
- Collaborate closely with data scientists and product managers to translate research into production-ready solutions.
- Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.
- Optimize existing systems for speed, accuracy, and cost-efficiency in a cloud-native environment.
- Conduct research into cutting-edge algorithms and technologies to stay ahead of the industry curve.
- Ensure system reliability, security, and compliance with industry standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML systems architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Strong understanding of distributed systems, microservices, containerization (Docker/Kubernetes), and orchestration.
- Proven track record of delivering complex machine learning systems from conception to production.
- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.