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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon Initiative

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of technology? Nebula Future Systems is seeking a visionary Lead AI Architect to spearhead the '2026 Horizon Initiative.'


We are not just building software; we are architecting the next era of human-machine collaboration. You will be at the forefront of innovation, designing scalable, autonomous systems that will power the landscape of 2026 and beyond. If you thrive on solving complex problems and leading high-performance engineering teams, this is your stage.


Why Join Us?

  • Work on ground-breaking AI infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium San Francisco office access.

Responsibilities

  • Architect and design the core AI infrastructure for the 2026 product roadmap, ensuring scalability and high performance.
  • Lead a cross-functional team of data scientists and engineers to translate complex research into production-ready systems.
  • Define technical standards and best practices for AI deployment, focusing on security and ethical AI usage.
  • Collaborate with product leadership to align technical solutions with business goals and long-term vision.
  • Drive innovation in predictive modeling and autonomous agent technologies.
  • Conduct code reviews, system architecture reviews, and mentor junior engineers to foster a culture of excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in Machine Learning frameworks (TensorFlow, PyTorch, JAX) and distributed systems.
  • Proven track record of delivering large-scale AI projects from conception to deployment.
  • Exceptional leadership skills with the ability to inspire and manage diverse engineering teams.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch Kubernetes AWS Leadership Strategic Planning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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