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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (Generative Models)

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

Join the Pioneers of the AI Revolution

Nexus Horizon is a cutting-edge technology firm pioneering the next generation of artificial intelligence solutions. We are seeking a visionary Senior AI Architect to lead the design and deployment of our proprietary Generative AI models. If you are passionate about shaping the technological landscape of 2026 and beyond, this is your opportunity to make an impact at scale.


Why Join Nexus Horizon?

  • Work on state-of-the-art Large Language Models (LLMs) and multimodal systems.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a vibrant SF office.

We are looking for a technical leader who thrives in ambiguity and has a deep understanding of the machine learning lifecycle.

Responsibilities

  • Architect and implement scalable RAG (Retrieval-Augmented Generation) pipelines to enhance model accuracy and reduce hallucinations.
  • Lead the research and fine-tuning of foundation models for specific enterprise verticals.
  • Optimize model inference performance and reduce latency in production environments.
  • Establish MLOps best practices, including model versioning, monitoring, and automated retraining workflows.
  • Collaborate closely with product and engineering teams to define AI product roadmaps and technical requirements.
  • Ensure ethical AI practices, including bias mitigation and data privacy compliance.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Transformer architectures, GPT series, and Llama models.
  • Experience with vector databases (Pinecone, Milvus, Weaviate) and vector embeddings.
  • Strong background in distributed systems and cloud infrastructure (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow Large Language Models LLMs RAG MLOps NLP Machine Learning AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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