Job Description
We are pioneering the next generation of intelligent systems. As a Senior AI Architect (AGI & LLMs), you will be at the forefront of designing and deploying artificial general intelligence solutions that redefine human-machine interaction. Join our elite team in San Francisco to architect the foundational models that will power the future of enterprise in 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and Reasoning models.
- Competitive equity package and top-tier tech stack.
- Flexible hybrid work environment in the heart of SOMA.
Responsibilities
- Lead System Architecture: Design scalable, fault-tolerant architectures for large-scale LLM inference and training pipelines.
- Model Development: Collaborate with researchers to fine-tune and optimize foundation models for specific vertical applications.
- R&D Strategy: Define the technical roadmap for 2026, evaluating emerging technologies like reinforcement learning and multimodal reasoning.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Ethical AI: Implement robust guardrails and safety protocols to ensure AI outputs are fair, transparent, and aligned with ethical standards.
- Production Deployment: Oversee the end-to-end deployment of AI services using Kubernetes and serverless architectures.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 7+ years of experience in software engineering, with at least 3 years specializing in Machine Learning and Deep Learning.
- Technical Skills: Proficiency in PyTorch, TensorFlow, or JAX; experience with LangChain or LlamaIndex frameworks.
- Cloud: Deep expertise in AWS, GCP, or Azure, specifically with GPU clusters and MLOps pipelines.
- Problem Solving: Strong ability to translate complex business problems into mathematical and technical models.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.