Job Description
Are you ready to shape the future of technology? 2026 is seeking a visionary Principal AI Architect to lead our advanced research division. We are building the infrastructure for the next generation of intelligent systems, and we need a leader who thrives on complexity and innovation.
In this role, you will define the technical vision for our flagship AI products, ensuring they are scalable, secure, and at the cutting edge of machine learning capabilities. You will bridge the gap between theoretical research and production-grade engineering, working alongside the brightest minds in the industry.
Why join 2026?
- Work on projects that redefine industry standards.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Location: San Francisco, CA (Hybrid)
Responsibilities
- Architectural Leadership: Design and oversee the implementation of robust, scalable AI systems and infrastructure pipelines.
- R&D Strategy: Identify emerging technologies in Generative AI and Quantum Computing to integrate into our product roadmap.
- Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical concepts into actionable business value.
- Code Quality Assurance: Establish rigorous coding standards and review practices to ensure maintainability and performance.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a lead or architectural role within the AI/ML space.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and drive projects from concept to delivery.
- Communication: Exceptional verbal and written communication skills, with the ability to present complex technical ideas to non-technical audiences.