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Senior AI Architect | San Francisco, CA

Vertex Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

At Vertex Horizon, we are not just building for today; we are architecting the intelligent infrastructure that will define 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our next-generation generative AI initiatives.

In this pivotal role, you will bridge the gap between cutting-edge research and scalable production engineering. You will spearhead the development of autonomous agent frameworks and large language model (LLM) ecosystems designed to solve complex, real-world problems at scale.

Why Join Us?

  • Work with a world-class team of researchers and engineers.
  • Shape the roadmap for AI technologies that will impact millions globally.
  • Competitive compensation package and equity opportunities.
  • State-of-the-art research environment.

Are you ready to lead the future of artificial intelligence? Apply today.

Responsibilities

  • Design and deploy scalable LLM architectures, including fine-tuning and RLHF pipelines.
  • Lead the development of Retrieval-Augmented Generation (RAG) systems to enhance data accuracy and reduce hallucinations.
  • Optimize model inference latency and resource utilization for high-volume production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Establish best practices for MLOps, monitoring, and observability of AI systems.
  • Stay at the forefront of AI research and evangelize new methodologies within the organization.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • 7+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, vector databases, and NLP techniques.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-ready AI models.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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