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Senior AI Architect: 2026 Horizon Initiative

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the Architects of Tomorrow.

We are Nexus Horizon Systems, a pioneering research organization dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge Generative AI and Predictive Modeling initiatives. In this role, you will design the neural infrastructure that powers our autonomous systems and ethical AI frameworks.

If you are passionate about pushing the boundaries of artificial intelligence and building scalable, secure, and transformative systems, we want to hear from you.

Responsibilities

  • Architect and deploy next-generation Neural Network models capable of handling complex, real-time data streams for the 2026 ecosystem.
  • Lead the integration of Large Language Models (LLMs) into enterprise-grade applications, ensuring high accuracy and low latency.
  • Define and enforce AI ethics protocols, ensuring all automated systems comply with global regulatory standards.
  • Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate abstract future-tech concepts into tangible software solutions.
  • Optimize existing ML pipelines for scalability, reducing computational costs while maximizing throughput.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of professional experience in Machine Learning, Deep Learning, and AI architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Apache Spark, Kubernetes).
  • Proven track record of deploying production-ready AI models at scale.
  • Strong understanding of Generative AI, Computer Vision, or Natural Language Processing.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Generative AI MLOps AWS GCP Ethics in AI Cloud Architecture

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