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Senior AI Architect | Project 2026 | San Francisco, CA

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

Job Description

Shape the Future of Intelligence. Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead Project 2026, our ambitious initiative to engineer the next generation of adaptive artificial intelligence systems. We are looking for a technical leader who thrives on complexity and is driven by the challenge of building scalable, ethical, and transformative AI infrastructure.

In this role, you will define the architectural roadmap for our flagship AI models, working closely with a world-class team of researchers and engineers. This is a unique opportunity to leave a lasting legacy in the tech industry.

Responsibilities

  • Architect and lead the end-to-end development of large-scale machine learning models for Project 2026.
  • Design scalable distributed systems capable of handling petabyte-scale data processing.
  • Establish best practices for model deployment, monitoring, and MLOps pipelines.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Conduct deep research into emerging AI paradigms to ensure our technology remains at the cutting edge.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
  • Oversee the security and ethical implications of AI deployments, ensuring compliance with industry standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 7+ years of experience in software engineering and machine learning architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Proven experience designing and deploying AI systems in production environments.
  • Strong understanding of deep learning architectures, natural language processing, or computer vision.
  • Excellent problem-solving skills with the ability to navigate ambiguity.
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Computing Distributed Systems AI Architecture

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