Job Description
We are a forward-thinking technology leader pioneering the next generation of Autonomous AI Systems. As we gear up for the AI 2026 era, we are seeking a visionary Principal AI Architect to spearhead the development of agentic workflows and next-gen Large Language Models (LLMs).
In this role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our solutions are not only intelligent but also ethically aligned and robust. If you are passionate about the future of AI and want to define the roadmap for the coming decade, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that will define the AI landscape of 2026.
- Competitive compensation package including equity.
- Flexible remote-first policy with a premium office in downtown SF.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable, secure, and high-performance AI architectures for autonomous agents and generative AI applications.
- Lead R&D Initiatives: Spearhead research into emerging AI paradigms, focusing on multi-modal learning, reinforcement learning, and ethical AI governance.
- Optimize Model Performance: Oversee the fine-tuning and deployment of LLMs to ensure low-latency inference and high accuracy in real-world scenarios.
- Technical Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex technical requirements into user-centric AI features.
- Industry Thought Leadership: Stay ahead of the curve on global AI trends, contributing to white papers and internal technical strategy.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in machine learning, deep learning, or AI engineering, with at least 3 years in a leadership or architectural role.
- Technical Stack: Extensive proficiency in Python, C++, and experience with major ML frameworks (TensorFlow, PyTorch, JAX).
- Model Mastery: Deep understanding of Transformer architectures, fine-tuning methodologies, and prompt engineering strategies.
- Deployment: Proven track record of deploying AI models to production using cloud-native services (AWS, GCP, or Azure).
- Problem Solving: Exceptional ability to solve complex, ambiguous problems and make data-driven architectural decisions.