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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Core Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the Project 2026 initiative, a cutting-edge infrastructure overhaul designed to revolutionize how we process data at scale. If you are passionate about the intersection of generative AI, distributed systems, and real-time inference, we want to hear from you.

In this role, you will define the technical roadmap for the 2026 ecosystem, ensuring our AI models are not only state-of-the-art but also resilient, efficient, and scalable. You will work closely with a world-class team of researchers and engineers to bridge the gap between theoretical machine learning and production-grade deployment.

Why Join Us?

  • Work on the future of AI infrastructure with direct impact on millions of users.
  • Competitive salary and equity package.
  • Flexible remote-first culture with headquarters in San Francisco.

Responsibilities

  • Architect and oversee the development of the Project 2026 neural network infrastructure, ensuring high availability and low latency.
  • Design scalable data pipelines that handle petabyte-scale data ingestion and preprocessing.
  • Collaborate with the research team to translate novel algorithms into production-ready code.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Optimize model performance and reduce inference costs through advanced quantization and pruning techniques.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in software engineering, with at least 3 years specializing in AI/ML infrastructure.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Experience designing distributed systems using Kubernetes, Docker, and cloud-native technologies (AWS/GCP).
  • Strong understanding of MLOps, CI/CD pipelines, and model monitoring.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker MLOps AWS Machine Learning Distributed Systems

Ready to Take This Challenge?

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