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Senior AI Architect - 2026 Horizon

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

Job Description

We are looking for a visionary Senior AI Architect to lead our 2026 Horizon initiative. In this pivotal role, you will design the next generation of autonomous systems and generative intelligence frameworks that will define the future of human-machine interaction. You will work at the intersection of deep learning, quantum computing, and scalable cloud infrastructure.

As part of the 2026 Vision team, you will not just build AI; you will architect the very fabric of our future products. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy, we want to hear from you.

Responsibilities

  • Architect and implement scalable, high-performance AI systems for the 2026 product roadmap.
  • Lead the research and development of next-generation Large Language Models (LLMs) and multimodal agents.
  • Collaborate with cross-functional teams to integrate AI capabilities into enterprise-grade software solutions.
  • Define technical standards, best practices, and architectural patterns for AI deployment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure the ethical use of AI, focusing on fairness, transparency, and safety.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with 10+ years of experience in AI/ML engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Docker).
  • Proven track record of deploying production-level machine learning models at scale.
  • Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering.
  • Strong background in cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs MLOps Kubernetes Docker AWS GCP Cloud Architecture NLP Neural Networks

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