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Senior AI Architect (GenAI & LLMs)

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligence?

Quantum Horizon Tech is at the forefront of the 2026 AI revolution. We are looking for a visionary Senior AI Architect to lead our Generative AI and Large Language Model (LLM) initiatives. You won't just be building models; you will be defining the roadmap for the next generation of autonomous systems.

In this pivotal role, you will bridge the gap between theoretical research and production-grade infrastructure, ensuring our AI solutions are scalable, secure, and transformative. Join a team of world-class engineers and researchers pushing the boundaries of what's possible.

Responsibilities

  • Design and deploy scalable Generative AI architectures using Python, PyTorch, and TensorFlow.
  • Lead the R&D efforts for next-generation LLMs, including fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation) strategies.
  • Optimize model inference latency and reduce token costs for enterprise-scale applications.
  • Collaborate with product managers and data scientists to define the 2026 AI product roadmap.
  • Establish best practices for MLOps, model governance, and ethical AI compliance.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • 5+ years of professional experience in software engineering with a strong focus on AI/ML.
  • Deep expertise in Large Language Models, Transformers, and NLP.
  • Proficiency in Python, with experience in PyTorch or JAX.
  • Experience deploying models via REST APIs and serverless architectures (AWS, GCP, or Azure).
  • Strong understanding of MLOps tools (MLflow, Kubeflow, Airflow) and vector databases (Pinecone, Weaviate).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI AWS MLOps Docker Kubernetes

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