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Senior AI Architect (Generative & LLM)

Quantum Future Tech
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the technological landscape of the future? Quantum Future Tech is seeking a visionary Senior AI Architect to spearhead our research and deployment of next-generation Generative AI models.

In this pivotal role, you won't just be maintaining existing systems; you will be architecting the foundation for autonomous agents and Large Language Models (LLMs) that will dominate the industry by 2026. You will work with a world-class team of researchers and engineers to push the boundaries of what is possible in natural language processing.

Why Join Us?

  • Competitive compensation package and equity.
  • Work on cutting-edge projects that shape the future of human-machine interaction.
  • Flexible remote-first policy with access to top-tier hardware.

Responsibilities

  • Design, train, and deploy state-of-the-art Large Language Models (LLMs) and Generative AI systems.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy.
  • Mentor junior engineers and data scientists on best practices in machine learning.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly features.
  • Stay ahead of the curve on emerging AI trends and technologies relevant to the 2026 roadmap.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML, specifically with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of deploying scalable ML models in production environments.
  • Strong proficiency in Python and SQL.
  • Experience with transformer architectures and fine-tuning pre-trained models.
  • Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLMs Generative AI NLP Machine Learning Deep Learning RAG SQL Cloud Computing AWS GCP

Ready to Take This Challenge?

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