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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

We are seeking a visionary Senior AI Architect to lead the technical vision for Project 2026, our ambitious initiative to redefine the boundaries of generative intelligence and autonomous systems.

As a key player in Project 2026, you will build the foundational infrastructure that powers our next-generation AI models. You will not just write code; you will architect the future of computing, ensuring our systems are scalable, secure, and revolutionary.

Key Benefits:

  • Equity participation in a high-growth startup.
  • Unlimited PTO and comprehensive health coverage.
  • Top-tier hardware and development environment.

Responsibilities

  • Design and implement scalable, fault-tolerant architectures for Project 2026's core machine learning infrastructure.
  • Optimize large-scale neural networks for high-throughput inference and low-latency deployment.
  • Collaborate with a world-class team of researchers and engineers to translate theoretical models into production-ready software.
  • Establish and enforce MLOps best practices, CI/CD pipelines, and monitoring strategies.
  • Lead technical strategy sessions and mentor junior engineers on advanced AI engineering techniques.
  • Conduct research into emerging hardware accelerators and optimization techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with model quantization, pruning, and hardware acceleration.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Required Skills

Python PyTorch TensorFlow Machine Learning System Design Cloud Computing AWS MLOps Docker Kubernetes AI Architecture

Ready to Take This Challenge?

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