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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect – Future Tech Visionary

Quantum Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are not just building software; we are architecting the future. Quantum Nexus is seeking a visionary Senior AI Architect to lead our next-gen research division. In this pivotal role, you will define the technological roadmap for 2026 and beyond, building intelligent systems that redefine human-machine interaction. If you thrive on solving complex problems and leading high-performance teams, this is your opportunity to shape the digital landscape.

Why Join Us?

  • Work on cutting-edge projects with a global impact.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with premium office amenities in SF.

Key Responsibilities:

  • Architect and deploy scalable machine learning infrastructure tailored for enterprise-level growth.
  • Lead a cross-functional team of data scientists and engineers to deliver high-impact AI solutions.
  • Define the long-term technical vision, ensuring alignment with business goals and 2026 strategic milestones.
  • Optimize model performance, latency, and cost-efficiency in real-time environments.
  • Stay at the forefront of emerging technologies, evaluating their viability for integration.
  • Mentor junior staff and foster a culture of innovation and continuous learning.

Qualifications:

  • Master’s degree or PhD in Computer Science, AI, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Proven track record of leading technical teams through complex project lifecycles.
  • Strong understanding of cloud architectures (AWS, GCP, Azure) and DevOps practices.
  • Exceptional problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure tailored for enterprise-level growth.
  • Lead a cross-functional team of data scientists and engineers to deliver high-impact AI solutions.
  • Define the long-term technical vision, ensuring alignment with business goals and 2026 strategic milestones.
  • Optimize model performance, latency, and cost-efficiency in real-time environments.
  • Stay at the forefront of emerging technologies, evaluating their viability for integration.
  • Mentor junior staff and foster a culture of innovation and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Proven track record of leading technical teams through complex project lifecycles.
  • Strong understanding of cloud architectures (AWS, GCP, Azure) and DevOps practices.
  • Exceptional problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning AI Architecture TensorFlow PyTorch AWS GCP Cloud Computing Data Science Leadership DevOps

Ready to Take This Challenge?

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