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Principal AI Architect (2026 Horizon) | San Francisco

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

QuantumLeap Innovations is pioneering the next generation of intelligent systems. We are seeking a visionary Principal AI Architect to lead our technology roadmap through 2026 and beyond. In this pivotal role, you will define the architectural framework for our next-gen artificial intelligence initiatives, ensuring scalability, security, and cutting-edge performance.

As a key strategic partner to our CTO and engineering leadership, you will bridge the gap between theoretical research and production-grade deployment, driving innovation that sets industry standards.

Responsibilities

  • Lead the architecture and development of proprietary AI models designed to outperform industry standards by 2026.
  • Define technical strategies for scalable machine learning infrastructure capable of handling petabyte-scale data streams.
  • Collaborate with cross-functional product teams to integrate AI capabilities into core business workflows seamlessly.
  • Mentor senior engineers and foster a culture of innovation and continuous learning within the engineering department.
  • Conduct rigorous code reviews and architectural assessments to ensure system reliability and security.
  • Stay ahead of emerging trends in Generative AI and Deep Learning to inform long-term product roadmaps.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Proven expertise in designing and deploying Large Language Models (LLMs) and Generative AI systems.
  • Strong proficiency in Python, PyTorch, TensorFlow, and cloud-native technologies (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with MLOps and deployment pipelines in high-availability environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP LLMs Generative AI System Architecture

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