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Lead AI Architect - Project 2026

Nexus Future Labs
Seattle
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Vanguard of Tomorrow

Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead Project 2026, our groundbreaking initiative aimed at revolutionizing the generative intelligence landscape. If you thrive in high-pressure environments, possess a deep understanding of neural architectures, and want to leave a permanent mark on the future of technology, this is your calling.

We are not just building models; we are engineering the cognitive infrastructure of the next decade. You will work alongside the brightest minds in the tech industry, pushing the boundaries of what is possible with Large Language Models (LLMs) and autonomous agents.

Responsibilities

  • Architect and deploy scalable, high-performance AI models using Python, PyTorch, and TensorFlow.
  • Lead a cross-functional team of ML engineers and data scientists to deliver cutting-edge features for Project 2026.
  • Optimize inference latency and cost efficiency for large-scale distributed systems.
  • Conduct rigorous research into novel neural network architectures and optimization techniques.
  • Define the technical vision and roadmaps for the AI infrastructure team.
  • Collaborate with product stakeholders to translate complex technical concepts into business value.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of experience in building and deploying production-level machine learning systems.
  • Deep expertise in NLP, LLMs (GPT, BERT, etc.), and Reinforcement Learning.
  • Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong background in data engineering and MLOps pipelines.
  • Exceptional problem-solving skills and the ability to mentor junior engineers.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS GCP Docker Kubernetes Generative AI

Ready to Take This Challenge?

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