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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Future Systems 2026)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the future of intelligent systems? At QuantumLeap Dynamics, we are engineering the technological landscape for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead the development of next-generation generative models and autonomous agents.

Join a team of elite engineers pushing the boundaries of what is possible. You will not just maintain systems; you will architect the infrastructure that powers the future of enterprise AI.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure optimized for high-performance inference.
  • Lead the research and implementation of cutting-edge Large Language Models (LLMs) tailored for enterprise solutions.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical architectures.
  • Drive the integration of AI into edge computing environments to ensure real-time processing capabilities.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Ensure system security, scalability, and ethical AI compliance across all projects.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (7+ years of experience).
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of designing and implementing large-scale distributed systems.
  • Strong understanding of Natural Language Processing (NLP) and Generative AI principles.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow Distributed Systems AWS Kubernetes Cloud Computing

Ready to Take This Challenge?

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