Job Description
We are on a mission to define the technological landscape of the year 2026 and beyond. As a Lead AI Architect, you will not just build software; you will architect the future of synthetic intelligence.
Our team in San Francisco is pushing the boundaries of Generative AI, Autonomous Systems, and Quantum-Ready Neural Networks. We are looking for a visionary builder who is obsessed with scalability, ethical AI, and the next leap in human-machine collaboration.
Key Highlights:
- Work on projects that will shape the global tech trajectory for the next decade.
- Competitive compensation and equity package.
- Collaborate with top-tier researchers and engineers.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure tailored for 2026 applications.
- Research and prototype novel Large Language Model (LLM) architectures and fine-tuning strategies.
- Lead the integration of AI agents into complex, real-world consumer and enterprise workflows.
- Establish best practices for MLOps, ensuring robust deployment and monitoring pipelines.
- Mentor junior engineers and conduct rigorous code reviews to maintain high technical standards.
- Advocate for ethical AI practices, data governance, and explainability in all system designs.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Deep Learning, Machine Learning, and NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow/Keras.
- Proven track record of working with Large Language Models (e.g., GPT-4, Llama, Claude) and RAG architectures.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Demonstrated ability to translate complex research papers into production-ready code.