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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & Lead Engineer

QuantumFlow Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of artificial intelligence? QuantumFlow Systems is pioneering the next generation of cognitive computing solutions. We are looking for a visionary Senior AI Architect & Lead Engineer to join our elite team in San Francisco.

In this pivotal role, you will not just use existing tools; you will define the frameworks and models that will power our enterprise clients through the rapidly evolving AI landscape of 2026 and beyond. You will bridge the gap between cutting-edge research and scalable production deployment.

Why join us? We offer a competitive salary, equity package, and a remote-first culture that values innovation and impact.

Responsibilities

  • Lead the end-to-end design and implementation of large-scale machine learning models and generative AI systems.
  • Architect robust MLOps pipelines to ensure model scalability, reliability, and performance.
  • Conduct research and experimentation with state-of-the-art algorithms to improve model accuracy.
  • Collaborate with cross-functional teams including product managers, data scientists, and backend engineers.
  • Mentor junior engineers and establish coding standards for AI projects.
  • Stay ahead of industry trends to advise the company on strategic technology investments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior architect role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, LLMs, or Computer Vision architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Docker Kubernetes NLP LLMs Machine Learning Artificial Intelligence

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