Job Description
Are you ready to architect the future of intelligent systems? 2026 is a pioneering technology firm dedicated to pushing the boundaries of artificial intelligence and predictive modeling. We are seeking a visionary Lead AI Architect to join our elite team in San Francisco and help define the roadmap for our next-generation neural infrastructure.
In this role, you will lead the design and implementation of scalable machine learning solutions that power our global platform. You will work at the intersection of research and production, ensuring our models are not only state-of-the-art but also robust, secure, and efficient.
Join us in shaping the digital landscape of tomorrow.
Responsibilities
- Architect and deploy scalable machine learning infrastructure using cloud-native technologies.
- Lead the technical strategy for our flagship AI products, overseeing the full software development lifecycle.
- Mentor and guide a team of talented data scientists and engineers to foster a culture of innovation and excellence.
- Collaborate with cross-functional product managers and stakeholders to translate business requirements into technical roadmaps.
- Optimize deep learning algorithms for real-time processing and high-throughput environments.
- Conduct rigorous code reviews and establish best practices for model deployment and monitoring.
- Stay abreast of the latest advancements in AI research and integrate cutting-edge methodologies into our stack.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (Ph.D. preferred).
- 10+ years of professional experience in machine learning engineering or software architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing distributed systems and microservices architectures.
- Deep understanding of deep learning architectures, NLP, and computer vision.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to thrive in a fast-paced, high-growth startup environment.