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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (Future Tech Lead)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are building the infrastructure for the next generation of intelligence. Quantum Leap Dynamics is seeking a visionary Senior AI Architect to lead our R&D division. If you are passionate about shaping the technological landscape of 2026 and beyond, this is your opportunity to drive innovation at scale.

In this role, you will define the architectural strategy for our core AI models, ensuring they are robust, scalable, and future-proof. You will collaborate with a world-class team of engineers, data scientists, and product leaders to deliver solutions that redefine industry standards.

Why join us?
• Competitive compensation and equity package.
• Flexible remote-first culture with quarterly team retreats.
• Access to cutting-edge hardware and research facilities.
• Opportunity to mentor the next generation of tech talent.

Responsibilities

  • Design and oversee the architecture of large-scale AI and machine learning systems.
  • Define technical roadmaps and best practices for AI infrastructure, ensuring scalability and performance.
  • Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
  • Mentor junior architects and engineers, fostering a culture of technical excellence.
  • Conduct rigorous code reviews and architectural assessments to mitigate risks.
  • Stay ahead of industry trends, evaluating emerging technologies to drive innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven experience designing scalable systems on cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
  • Experience leading technical teams and managing large-scale projects.

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps Machine Learning System Design Cloud Architecture Kubernetes

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