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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Shaping the Future of 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of the future?

Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our initiatives in next-generation generative intelligence. As we look toward 2026, we are building the infrastructure that will power the next decade of human-machine collaboration. This is not just a job; it is a mission to engineer the impossible.

Based in the heart of San Francisco, you will work at the intersection of deep learning, ethical AI, and scalable cloud architecture. If you are driven by the challenge of building systems that think, learn, and adapt, we want to hear from you.

Responsibilities

  • Architect & Scale: Design and deploy high-performance AI models and infrastructure capable of handling petabyte-scale data processing.
  • Research & Innovation: Lead cutting-edge research in Generative AI, Large Language Models (LLMs), and autonomous agents.
  • Strategic Implementation: Translate complex technical concepts into actionable product roadmaps for cross-functional engineering teams.
  • Ethical AI Oversight: Establish frameworks for AI safety, bias mitigation, and responsible deployment in real-world scenarios.
  • Collaboration: Partner with data scientists, product managers, and security experts to deliver robust, enterprise-grade solutions.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and researchers.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of professional experience in software engineering, with a focus on machine learning and deep learning.
  • Technical Mastery: Proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
  • System Design: Proven track record of designing scalable distributed systems and cloud-native applications (AWS/GCP/Azure).
  • Problem Solving: Exceptional ability to solve ambiguous problems and innovate under pressure.
  • Communication: Strong verbal and written skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing AWS Natural Language Processing NLP

Ready to Take This Challenge?

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