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Senior AI Architect (2026 Vision) - San Francisco, CA

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our engineering team into the next era of technological innovation. As we prepare for the 2026 rollout of our flagship quantum-computing interface, you will be at the forefront of designing scalable, secure, and transformative systems.

At Nebula Horizon Labs, we don't just predict the future; we engineer it. Join a culture of excellence, where your work will directly impact how the world interacts with advanced artificial intelligence. We offer a competitive salary, comprehensive benefits, and the opportunity to work on projects that define the technological landscape of the coming decade.

Responsibilities

  • Architect and oversee the deployment of next-generation AI infrastructure designed for 2026 scalability standards and quantum readiness.
  • Lead the technical vision for integrating generative AI models with legacy enterprise systems to enhance productivity.
  • Mentor a high-performing engineering team, fostering a culture of innovation, code quality, and continuous learning.
  • Collaborate with product managers and stakeholders to define technical roadmaps and deliver high-impact features on time.
  • Ensure system reliability, security, and performance across all cloud environments (AWS/GCP/Azure).
  • Conduct code reviews and architectural audits to maintain best practices.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, C++, and modern ML frameworks (TensorFlow, PyTorch, JAX).
  • Proven track record of leading engineering teams in a fast-paced, agile environment.
  • Strong understanding of cloud architecture, microservices, and containerization (Kubernetes, Docker).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with NLP, Computer Vision, or Reinforcement Learning is a strong plus.

Required Skills

Artificial Intelligence Machine Learning Python C++ Cloud Architecture Kubernetes Docker Agile Leadership System Design Quantum Computing Generative AI

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