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Senior AI/ML Architect 2026 - San Francisco

Quantum Nexus Inc.
San Francisco
Estimated Salary
USD 190.000 – USD 320.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Architect the Future of Intelligence

Quantum Nexus Inc. is pioneering the next generation of generative AI systems. We are seeking a visionary Senior AI/ML Architect to define the technical roadmap for 2026. You will work at the intersection of deep learning, large language models, and scalable cloud infrastructure. This is an opportunity to lead high-impact projects that set industry standards.

What You Will Do:

  • Design and deploy state-of-the-art machine learning models for enterprise-scale applications.
  • Lead architectural decisions for our MLOps pipeline and data infrastructure.
  • Collaborate with cross-functional teams to translate business goals into technical roadmaps.

Responsibilities

  • Lead R&D Initiatives: Spearhead the research and development of proprietary algorithms to maintain our competitive edge in the 2026 market landscape.
  • System Architecture: Design resilient, high-performance distributed systems capable of handling petabytes of data in real-time.
  • Model Optimization: Fine-tune and optimize transformer models for speed, accuracy, and cost-efficiency.
  • Culture of Innovation: Foster a collaborative engineering environment that encourages experimentation and technical excellence.
  • Stakeholder Management: Communicate complex technical concepts to executive leadership and product managers clearly.
  • Security & Compliance: Implement rigorous security protocols to ensure data privacy and model integrity.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Statistics, or a related field.
  • Core Tech: Expert proficiency in Python, PyTorch, and TensorFlow.
  • Experience: 7+ years of experience in machine learning engineering, with at least 2 years in a senior leadership role.
  • Cloud Mastery: Deep experience with AWS, Google Cloud Platform, or Azure, including serverless and containerization technologies.
  • Problem Solving: Proven ability to solve ambiguous problems and navigate technical debt.
  • Soft Skills: Exceptional communication skills with a knack for mentoring and team building.

Required Skills

Python PyTorch TensorFlow AWS GCP Machine Learning Deep Learning MLOps Kubernetes SQL NLP

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