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Senior 2026 AI & Machine Learning Architect

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Future of Intelligence is Here. We are Quantum Leap Dynamics, a pioneering think-tank building the software infrastructure for the year 2026. We are looking for a visionary Senior 2026 AI & Machine Learning Architect to lead our research division. If you are passionate about shaping the next generation of sentient computing and ethical AI, this is your opportunity to define the future.

In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will be working with cutting-edge quantum-inspired algorithms and next-gen neural networks to solve problems that don't even exist yet.

Responsibilities

  • Design and deploy scalable machine learning models capable of handling petabyte-scale data streams for the 2026 infrastructure.
  • Lead the architectural strategy for integrating Generative AI with Real-time Decision Engines.
  • Research and prototype novel algorithms in collaboration with our R&D quantum computing partners.
  • Ensure the ethical deployment of AI, establishing robust guardrails for autonomous systems.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Translate complex technical concepts into strategic roadmaps for executive stakeholders.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (Minimum 5 years of post-grad experience).
  • Deep expertise in Python, PyTorch, and TensorFlow, with a portfolio of published research papers.
  • Proven experience in designing Large Language Models (LLMs) and fine-tuning them for niche applications.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/K8s).
  • Experience with edge computing and federated learning for privacy-preserving AI.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Cloud Computing Distributed Systems NLP Quantum Computing

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