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Lead Generative AI Architect | San Francisco, CA

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Quantum Leap Technologies is on a mission to revolutionize human-computer interaction through advanced Generative AI. We are seeking a visionary Lead AI Architect to build the neural frameworks of tomorrow.

As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and scalable, production-grade software. You will lead a high-performance squad of data scientists and engineers, ensuring our platforms remain at the cutting edge of Large Language Models (LLMs) and autonomous agents.

Why Join Us?

We offer competitive equity packages, remote-first flexibility, and the opportunity to work on projects that will define the future of the industry.

Responsibilities

  • Design and architect scalable, fault-tolerant AI infrastructure capable of processing billions of parameters.
  • Lead the research and implementation of cutting-edge Generative AI models, including fine-tuning and RAG architectures.
  • Mentor and develop junior engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex AI capabilities into user-centric features.
  • Optimize model inference speed and reduce computational costs for large-scale deployments.
  • Stay ahead of the curve by researching emerging technologies in the AI ecosystem.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specializing in AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow).
  • Proven track record of deploying large-scale LLMs (e.g., GPT-4, Claude, Llama) in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Large Language Models MLOps AWS Kubernetes System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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