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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary)

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

Job Description

We are looking for a Senior AI Architect (2026 Visionary) to join our elite team in San Francisco. We are building the foundational infrastructure for the next era of artificial intelligence, and we need a technical leader who can see beyond current limitations.

In this role, you will be at the forefront of the 2026 AI revolution, designing systems that are not only scalable but also ethical and groundbreaking. You will work directly with our CTO and lead a squad of brilliant engineers to deploy next-generation generative models.

Why Join Us?

  • Work on the cutting edge of AI technology.
  • Competitive equity package and 401(k) matching.
  • Flexible remote-first hybrid culture.

Responsibilities

  • Architect and deploy scalable Large Language Models (LLMs) designed for the 2026 enterprise landscape.
  • Optimize model inference pipelines to ensure sub-millisecond latency and high throughput.
  • Lead research initiatives in neural architecture search (NAS) and self-supervised learning.
  • Mentor junior engineers and establish rigorous code review and testing standards.
  • Collaborate with product stakeholders to translate futuristic visions into concrete technical roadmaps.
  • Implement robust MLOps pipelines for automated retraining and model governance.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent professional experience).
  • 5+ years of experience building and deploying production-grade Machine Learning systems.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of optimizing deep learning models for edge and cloud deployment.
  • Strong understanding of distributed computing systems (Kubernetes, Docker, AWS/GCP).

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps AWS GCP Kubernetes Distributed Systems Generative AI LLMs

Ready to Take This Challenge?

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