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Lead AI Architect (2026 Vision)

Nexus Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect (2026 Vision) to spearhead our next-generation neural network initiatives. At Nexus Systems, we don't just predict the future; we engineer it. If you are passionate about pushing the boundaries of artificial intelligence and robotics, this is your opportunity to define the landscape of 2026 and beyond.

Why Join Us?

  • Work on autonomous systems that will define the next decade of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.

As a Lead AI Architect, you will bridge the gap between theoretical research and practical application, ensuring our products remain at the forefront of innovation.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI infrastructure capable of handling next-generation data volumes.
  • Model Development: Lead the end-to-end lifecycle of Machine Learning models, from data ingestion to deployment and MLOps.
  • R&D Strategy: Conduct research to identify emerging trends in AI, specifically focusing on Generative AI and Autonomous Robotics for the 2026 roadmap.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Stakeholder Collaboration: Translate complex technical concepts into strategic roadmaps for executive stakeholders and product teams.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/Azure/GCP).
  • Specialization: Strong background in NLP, Computer Vision, or Reinforcement Learning is highly preferred.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision MLOps AWS Leadership San Francisco 2026

Ready to Take This Challenge?

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