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Senior AI Architect (2026 Roadmap)

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future? Quantum Leap Technologies is looking for a visionary Senior AI Architect to define the roadmap for 2026.

In a world where Artificial General Intelligence (AGI) is on the horizon, you will lead the charge in developing next-generation neural architectures. We are not just building software; we are engineering the digital consciousness of tomorrow. You will have the unique opportunity to work on breakthrough projects that will redefine human-machine interaction.

Join our elite R&D division and help us build the intelligent infrastructure of the future.

Responsibilities

  • Lead the architecture and deployment of scalable Large Language Models (LLMs) tailored for enterprise 2026 standards.
  • Research and implement cutting-edge reinforcement learning algorithms to optimize autonomous decision-making systems.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into real-time data streams.
  • Mentor junior engineers and establish best practices for ethical AI development and bias mitigation.
  • Oversee the migration of legacy systems to next-gen quantum-ready computing frameworks.
  • Present technical strategies and roadmaps to executive stakeholders to secure funding and direction.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of publishing research papers or shipping high-impact AI products.
  • Strong understanding of NLP, Computer Vision, and Generative AI technologies.
  • Experience with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python TensorFlow PyTorch NLP Deep Learning AI Research Machine Learning Distributed Systems SQL AWS Kubernetes

Ready to Take This Challenge?

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