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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are currently seeking a visionary Senior AI Architect to spearhead Project 2026, our company's most ambitious initiative to redefine the boundaries of artificial intelligence. If you are passionate about building the future, leveraging cutting-edge generative models, and leading a world-class engineering team, this is your opportunity to make history.

In this pivotal role, you will be responsible for designing scalable, secure, and high-performance AI infrastructure. You will bridge the gap between theoretical research and practical application, ensuring our solutions are not only innovative but also ethically grounded and production-ready.

Why Join Us?

  • Work on Project 2026, a top-secret initiative with global impact.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in the heart of SF.
  • Access to the latest hardware and GPU clusters.

Responsibilities

  • Architect and implement the core infrastructure for Project 2026, focusing on Large Language Models (LLMs) and autonomous agents.
  • Lead the technical strategy for AI integration across all product verticals.
  • Mentor and develop a high-performing team of ML engineers and data scientists.
  • Ensure data privacy, security, and ethical AI compliance in all model deployments.
  • Collaborate with cross-functional teams including product managers, designers, and researchers.
  • Optimize model inference latency and cost-efficiency at scale.

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 focused on Machine Learning/AI.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade AI models to cloud environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model versioning.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning AI Deep Learning NLP TensorFlow PyTorch MLOps AWS GCP System Design Leadership

Ready to Take This Challenge?

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