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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

Are you ready to define the next generation of artificial intelligence? Nexus Future Labs is currently recruiting a visionary Senior AI Architect to spearhead our Project 2026 initiative. We are building the infrastructure for a future where AI seamlessly integrates with human cognition.

In this high-impact role, you will not just follow trends; you will set them. You will design scalable, robust neural architectures that push the boundaries of machine learning. If you thrive in a fast-paced, innovative environment and want to leave a legacy in the tech world, this is your opportunity.

Responsibilities

  • Architect and implement next-generation Large Language Models (LLMs) for the Project 2026 roadmap.
  • Optimize deep learning models for high-performance computing clusters and edge devices.
  • Collaborate with cross-functional teams including data engineers, product managers, and security experts.
  • Conduct rigorous research to validate novel algorithms and publish findings in top-tier conferences.
  • Mentor junior data scientists and engineering teams to foster a culture of innovation.
  • Ensure data privacy, security, and ethical AI compliance in all model deployments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 8+ years of professional experience in AI/ML research or software engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying scalable ML solutions in production environments.
  • Strong understanding of transformer architectures and attention mechanisms.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Large Language Models Distributed Systems AI Architecture

Ready to Take This Challenge?

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