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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the landscape of artificial intelligence for the year 2026?

QuantumLeap Technologies is seeking a visionary Senior AI & Future Tech Architect to join our elite engineering team. We are building the next generation of autonomous systems and are looking for a leader who thrives on solving complex problems and pushing the boundaries of what is possible.

In this role, you will not just implement existing solutions; you will architect the future of our machine learning infrastructure. If you are passionate about scaling neural networks, optimizing deep learning models, and leading a team of innovators, we want to hear from you.

Responsibilities

  • Architect Design: Lead the end-to-end design and implementation of scalable AI systems and infrastructure for Year 2026-ready applications.
  • Model Optimization: Research, develop, and optimize deep learning models to improve accuracy, speed, and efficiency.
  • Team Leadership: Mentor and guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Collaborate with product and engineering leadership to define the roadmap for AI integration and future technology adoption.
  • Performance Tuning: Monitor system performance and conduct rigorous testing to ensure high availability and low latency.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior leadership or architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
  • Domain Knowledge: Deep understanding of neural networks, NLP, and large language models (LLMs).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Docker Kubernetes Leadership System Architecture

Ready to Take This Challenge?

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