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Senior AI Architect (Project 2026)

Nexus Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to join our elite R&D division focused on the Project 2026 initiative. As we stand on the precipice of the next era of artificial general intelligence, you will be responsible for designing scalable, robust, and ethical systems that define the technological landscape of the coming decade. This is a high-impact opportunity for a technical leader who thrives in ambiguity and aims to build the future.

Why Join Us?

  • Work on groundbreaking technology with a competitive compensation package.
  • Flexible remote-first policy with a premium office in the heart of San Francisco.
  • Access to the latest hardware and cloud infrastructure for rapid prototyping.

Responsibilities

  • Architect and lead the end-to-end design of next-generation neural network infrastructures for the Project 2026 roadmap.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex research into production-ready solutions.
  • Define technical standards, coding guidelines, and best practices to ensure maintainability and scalability of AI systems.
  • Conduct deep-dive code reviews and performance tuning to optimize model inference and training efficiency.
  • Identify potential risks in AI deployment, including bias, security vulnerabilities, and ethical considerations.
  • Mentor junior engineers and provide technical guidance to foster a culture of continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 6 years of experience in machine learning engineering, deep learning, or applied AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated experience in deploying large-scale models in production environments.
  • Excellent problem-solving skills with a focus on system architecture and scalability.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning Engineering Distributed Systems AWS Kubernetes Docker System Architecture Natural Language Processing Computer Vision

Ready to Take This Challenge?

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