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Senior AI Architect - 2026 Initiative

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Quantum Leap Technologies is pioneering the 2026 AI Initiative, a groundbreaking project designed to redefine the boundaries of artificial intelligence and human-machine interaction. We are seeking a visionary Senior AI Architect to lead our engineering efforts in San Francisco. You will be at the forefront of deploying next-generation Large Language Models (LLMs) and autonomous agents that will shape the digital landscape of the coming decade.


Why Join Us?
We offer a competitive package, remote-first flexibility, and the opportunity to work on products that matter. If you are passionate about building scalable, ethical, and high-performance AI systems, we want to hear from you.

Responsibilities

  • Architect and design scalable AI infrastructure for the 2026 roadmap, focusing on LLMs and edge computing.
  • Lead the development of proprietary machine learning models and fine-tuning pipelines.
  • Optimize existing models for speed, accuracy, and cost-efficiency.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and establish best practices for AI development within the team.
  • Ensure robust security and compliance standards across all AI deployments.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • 7+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Experience with vector databases (e.g., Pinecone, Milvus) and RAG architectures.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning AI PyTorch TensorFlow AWS GCP Docker Kubernetes NLP SQL MLOps

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