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Senior AI Architect | 2026 Vision Initiative - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

We are not just predicting the future; we are architecting it. Nexus Future Systems is seeking a visionary Senior AI Architect to lead the technical strategy for our groundbreaking 2026 Vision Initiative. In this role, you will define the core infrastructure that powers next-generation generative models and autonomous systems. You will work at the intersection of cutting-edge research and scalable production engineering, ensuring our solutions are robust, secure, and ahead of the curve.

If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the architectural transition to quantum-ready algorithms and edge computing solutions.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
  • Optimize model inference latency and throughput to ensure real-time application performance.
  • Establish best practices for MLOps, CI/CD pipelines, and automated testing frameworks.
  • Drive technical decision-making regarding hardware selection, cloud providers, and database architectures.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern Deep Learning frameworks.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of cloud architectures (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Experience with distributed systems, microservices, and high-availability network design.

Required Skills

Python Machine Learning Deep Learning Cloud Computing Kubernetes Docker AWS PyTorch TensorFlow System Architecture

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