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Principal AI Architect (2026 Visionary) - San Francisco

Nebula Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

Welcome to the future. Nebula Horizon Systems is seeking a visionary Principal AI Architect to lead our R&D division into the technological landscape of 2026 and beyond.

In this pivotal role, you won't just be implementing existing solutions; you will be architecting the foundation for next-generation generative intelligence and quantum-assisted computing. We are looking for a thought leader who thrives in ambiguity and is driven by the challenge of defining what is possible when artificial intelligence meets human creativity.

If you are ready to leave a permanent mark on the tech industry and build systems that will define the era of 2026, we want to meet you.

Responsibilities

  • Architect the 2026 AI Roadmap: Define and execute a long-term technical strategy for our proprietary generative models, anticipating shifts in the industry landscape two years out.
  • Pioneering R&D: Spearhead research into cutting-edge neural architectures, focusing on energy efficiency and scalability for massive data clusters.
  • Technical Leadership: Mentor a world-class team of AI engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Strategic Partnerships: Collaborate with C-suite executives to translate complex technical concepts into business opportunities and product roadmaps.
  • System Optimization: Oversee the deployment of large-scale inference systems, ensuring zero-latency performance for global clients.
  • Compliance & Ethics: Establish rigorous frameworks for AI safety, bias mitigation, and regulatory compliance in the emerging tech market.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years specifically in deep learning and artificial intelligence architecture.
  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
  • Visionary Mindset: Proven track record of leading innovative projects from concept to production, with a portfolio demonstrating forward-thinking solutions.
  • Leadership: Demonstrated ability to lead high-performing engineering teams in fast-paced, agile environments.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders and investors.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Kubernetes Distributed Systems System Architecture AI Ethics Leadership

Ready to Take This Challenge?

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