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Senior AI Architect - 2026 Vision Initiative

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future? Nexus Horizon Systems is pioneering the 2026 Initiative, a cutting-edge project focused on next-generation autonomous intelligence. We are seeking a visionary Senior AI Architect to design the core neural architectures that will define the next decade of technological advancement.

In this role, you won't just be writing code; you will be shaping the infrastructure of tomorrow. You will lead a world-class team in developing scalable, high-performance AI systems that push the boundaries of what is possible in generative modeling and predictive analytics.

Why Join Us?

  • Work on high-impact projects with a future-forward timeline.
  • Competitive compensation package with equity options.
  • State-of-the-art research facilities in the heart of San Francisco.

If you are passionate about the intersection of deep learning and future tech, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for the 2026 strategic roadmap.
  • Lead research and development in Large Language Models (LLMs) and Generative AI.
  • Optimize model inference latency and accuracy for real-time applications.
  • Collaborate with product and engineering teams to translate technical vision into production-ready solutions.
  • Establish best practices for data governance, model monitoring, and MLOps.
  • Conduct technical mentoring and code reviews for junior engineers.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, or a related quantitative field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or JAX.
  • Proven track record of deploying models to production in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of distributed systems and high-availability architectures.
  • Experience with MLOps tools (Kubeflow, MLflow, Sagemaker).

Required Skills

Python TensorFlow PyTorch AWS MLOps Machine Learning Deep Learning Distributed Systems Generative AI San Francisco

Ready to Take This Challenge?

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

Apply Now

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