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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect | San Francisco, CA | $180k-$250k

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Systems Architect to lead the architectural design of our revolutionary "Project 2026" platform. As we stand on the precipice of the next industrial revolution, we are building the neural backbone that will power autonomous decision-making systems for the next decade. If you are passionate about pushing the boundaries of Large Language Models (LLMs), reinforcement learning, and edge computing, this is your opportunity to shape the future.

Why Join Us? We are a fast-paced, elite team of researchers and engineers building the operating system for the next generation of intelligent machines. You will have the autonomy to make high-impact decisions and the resources to build world-class infrastructure.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure for high-throughput data processing.
  • Lead the technical strategy for integrating Generative AI models with legacy enterprise systems.
  • Optimize deep learning algorithms for reduced latency and increased inference speed on edge devices.
  • Collaborate with cross-functional teams to define the roadmap for autonomous agent capabilities.
  • Establish best practices for MLOps, CI/CD pipelines, and model versioning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong understanding of LLMs, Transformers, and fine-tuning methodologies.
  • Experience with cloud platforms (AWS/GCP) and containerization technologies (Kubernetes/Docker).
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning AI Architecture MLOps Deep Learning

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