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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect

Nebula Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you a visionary engineer ready to define the landscape of artificial intelligence in 2026? Nebula Horizon AI is seeking a world-class Senior Generative AI Architect to lead our breakthrough initiatives.

As we stand on the precipice of the next industrial revolution, your role will be pivotal in deploying scalable, ethical, and high-performance Large Language Models (LLMs). You will bridge the gap between theoretical research and production-grade engineering, ensuring our products are not just smart, but intelligent at scale.

Why Join Us?

  • Work on cutting-edge AI models that will define the next decade of technology.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a vibrant San Francisco office.

Responsibilities

  • Architect and implement state-of-the-art Generative AI pipelines and infrastructure.
  • Optimize model inference latency and reduce computational costs for high-volume applications.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products seamlessly.
  • Establish best practices for model security, bias mitigation, and governance.
  • Lead technical mentorship and code reviews for junior engineers and data scientists.
  • Stay ahead of industry trends in Generative AI, NLP, and Multimodal models.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Deep expertise in Python, PyTorch, and TensorFlow frameworks.
  • Proven experience deploying LLMs (e.g., GPT-4, Llama 3, Claude) in production environments.
  • Strong understanding of MLOps, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience with vector databases and RAG architectures.

Required Skills

Python PyTorch TensorFlow LLMs MLOps Kubernetes AWS Machine Learning Deep Learning NLP RAG

Ready to Take This Challenge?

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