Job Description
Are you ready to shape the future? 2026 Systems is at the forefront of the next technological revolution, building the intelligent infrastructure for tomorrow. We are seeking a visionary Lead AI Architect to drive our core neural engine development and define the roadmap for our upcoming 2026 product suite.
In this role, you will lead a team of elite engineers, design scalable deep learning architectures, and ensure our AI solutions are robust, secure, and scalable. If you thrive in a high-performance environment and want to leave a lasting mark on the industry, apply today.
Why join us?
- Work on cutting-edge Generative AI and predictive modeling.
- Competitive compensation package with equity options.
- Flexible remote-first policy with access to premium San Francisco hubs.
Responsibilities
- Architecture Design: Design and implement scalable, high-performance AI and machine learning architectures for the 2026 product ecosystem.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research & Development: Stay ahead of the curve by researching the latest advancements in Deep Learning, NLP, and Reinforcement Learning.
- System Optimization: Oversee the optimization of existing models to reduce latency and improve inference accuracy.
- Collaboration: Partner with Product Managers and Data Scientists to translate business requirements into technical specifications.
- Best Practices: Enforce code quality standards, CI/CD pipelines, and security protocols across the AI engineering department.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience with large-scale distributed systems (Kubernetes, AWS, GCP).
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Large Language Models (LLMs).
- Problem Solving: Exceptional ability to solve complex technical problems and make data-driven architectural decisions.
- Communication: Excellent verbal and written communication skills for cross-functional collaboration.