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Senior AI Architect - 2026 Strategic Initiative

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our cutting-edge 2026 Strategic Initiative. As we prepare to redefine the boundaries of generative intelligence, you will be at the helm of designing scalable, secure, and transformative AI systems. This is a rare opportunity to shape the future of technology and build the infrastructure that will power the next decade of innovation.

Why Join Us?

  • Work on a high-impact roadmap dedicated to 2026 advancements.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a collaborative SF hub.

Responsibilities

  • Architect and define the technical roadmap for the 2026 AI ecosystem, ensuring scalability and robustness.
  • Lead a cross-functional team of ML engineers, data scientists, and product managers to deliver breakthrough features.
  • Optimize large-scale machine learning models for production environments, focusing on latency and throughput.
  • Establish best practices for AI ethics, data governance, and security compliance.
  • Mentor junior architects and foster a culture of continuous learning and innovation.
  • Collaborate with C-level stakeholders to translate business goals into technical specifications.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern distributed systems.
  • Proven track record of deploying end-to-end AI solutions in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • Experience with MLOps pipelines and model deployment strategies.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture MLOps Generative AI System Design AWS GCP

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