Job Description
We are at the forefront of defining the technological landscape for the year 2026. As a Lead AI Architect, you will not just build systems; you will architect the future of intelligent automation. Join our elite team in San Francisco to pioneer the next generation of Large Language Models and autonomous agents.
Why Join Us?
We are a venture-backed startup backed by top-tier Silicon Valley investors, dedicated to solving the most complex problems in Generative AI. You will have the autonomy to define technical direction, mentor top-tier talent, and see your work impact millions of users globally.
Core Competencies:
Our ideal candidate thrives in ambiguity and possesses a deep understanding of the AI stack that will define the 2026 era.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable, high-performance AI infrastructure capable of supporting next-generation applications.
- Model Optimization: Lead the optimization of LLMs for latency, cost-efficiency, and inference accuracy in real-time environments.
- Technical Strategy: Define the technical roadmap for the 2026 vision, bridging the gap between theoretical AI research and production-grade software.
- Team Leadership: Mentor a team of brilliant engineers and researchers, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with product managers and stakeholders to translate complex requirements into robust technical solutions.
- R&D: Stay ahead of the curve by researching emerging technologies in multi-modal AI and autonomous agents.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 7+ years of experience in software engineering, with at least 3 years leading AI/ML initiatives.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
- Language Mastery: Deep expertise in NLP, transformer architectures, and fine-tuning methodologies.
- Problem Solving: Exceptional ability to solve complex, undefined technical challenges with innovative solutions.
- Communication: Excellent written and verbal communication skills, capable of articulating technical concepts to non-technical stakeholders.
- Agility: Proven track record of working in fast-paced, agile environments.