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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Architect

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Shape the Future of Intelligence. QuantumLeap Systems is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary 2026 AI Architect to design, build, and deploy next-generation artificial intelligence systems that will redefine human-machine interaction.

In this role, you won't just follow trends; you will set them. You will work at the intersection of Generative AI, Neural Networks, and Ethical Computing to solve complex problems for enterprise clients across the globe.

Why join us? We offer a competitive package, stock options, and the unique opportunity to work on projects that will be integral to the 2026 technological roadmap.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure capable of handling exabyte-scale data.
  • Lead the research and development of proprietary algorithms for autonomous decision-making systems.
  • Collaborate with cross-functional teams to integrate AI models into real-time enterprise applications.
  • Ensure the ethical, transparent, and secure deployment of AI technologies in compliance with global standards.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Provide technical leadership in code reviews, system architecture reviews, and strategic planning for the 2026 roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in advanced AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of leading large-scale machine learning projects from conception to deployment.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Model (LLM) fine-tuning.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision Distributed Systems AI Architecture Cloud Computing AWS GCP Kubernetes

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