Job Description
We are on a mission to redefine the technological landscape by 2030, and we are looking for a visionary Principal AI Architect to spearhead our strategic roadmap for 2026.
In this pivotal role, you will not just build algorithms; you will architect the future infrastructure of our AI ecosystem. You will work at the intersection of cutting-edge research and scalable production systems, ensuring our solutions are robust, ethical, and ahead of the curve. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence and want to lead a team that shapes the next decade of tech, we want to meet you.
Why Join Us?
- Work on 2026-ready technologies that solve real-world problems.
- Competitive compensation package with equity options.
- Flexible remote-first policy with premium San Francisco office access.
- Access to the latest hardware and compute resources.
Responsibilities
- Strategic Roadmapping: Define and execute the technical vision for AI systems, specifically aligning our product roadmap with the demands of the 2026 market landscape.
- System Design: Design scalable, fault-tolerant machine learning architectures capable of handling petabyte-scale data streams.
- R&D Leadership: Lead research initiatives to integrate emerging technologies (e.g., LLMs, generative AI) into our core product suite.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Model Optimization: Oversee the deployment and optimization of models to ensure high throughput and low latency in production environments.
- Stakeholder Communication: Bridge the gap between technical teams and executive leadership, translating complex AI concepts into actionable business strategies.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field from a top-tier university.
- Experience: Minimum of 8+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architect role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with cloud platforms (AWS/GCP/Azure).
- AI Specialization: Deep expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to present technical strategies to non-technical stakeholders.