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Senior AI Architect: 2026 Roadmap | San Francisco, CA

Nebula Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula Horizon Technologies is seeking a visionary Senior AI Architect to lead our next-generation neural infrastructure projects. We aren't just building software; we are engineering the future of human-machine interaction.

In this pivotal role, you will design the architectural framework for our upcoming suite of autonomous systems. You will bridge the gap between theoretical AI research and scalable, real-world applications. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the foundation for the AI era of 2026, we want to hear from you.

Why Join Us?

  • Future-Proof Your Career: Work on cutting-edge projects that define the roadmap for 2026 and beyond.
  • Impactful Work: Deploy AI solutions that will revolutionize industries.
  • Competitive Compensation: Earn a salary reflecting your expertise in high-demand AI technologies.

Responsibilities

  • Architect scalable, fault-tolerant AI systems capable of processing exabytes of data.
  • Lead research initiatives into next-gen neural architectures and quantum algorithms.
  • Define the technical roadmap for our 2026 product suite.
  • Collaborate with cross-functional teams to integrate generative AI into core business workflows.
  • Mentor engineering talent and establish best practices for AI ethics and compliance.
  • Optimize model inference latency to ensure real-time performance.

Qualifications

  • 8+ years of experience in software engineering, with a focus on Machine Learning and Deep Learning.
  • Master’s degree or Ph.D. in Computer Science, AI, or a related field.
  • Deep expertise in Python, PyTorch, and distributed computing frameworks.
  • Proven track record of deploying production-level Large Language Models (LLMs).
  • Strong understanding of cloud architecture (AWS/GCP/Azure) and containerization (Kubernetes/Docker).
  • Experience with MLOps and model versioning strategies.

Required Skills

Python TensorFlow PyTorch Machine Learning Distributed Systems Cloud Computing AI Ethics LLMs Kubernetes MLOps San Francisco CA 2026 Senior Architect Full Time

Ready to Take This Challenge?

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