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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026?

Nexus Future Labs is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Architect to join our elite engineering team. In this role, you will not just build models; you will architect the future of human-machine interaction, focusing on Generative AI, LLMs, and autonomous agents.

We are looking for a thought leader who is obsessed with scalability, ethics, and the cutting edge. If you are ready to tackle the challenges that will define the year 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling petabyte-scale data processing.
  • Lead the architecture of next-generation Large Language Models (LLMs) and Generative AI agents.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for MLOps, model monitoring, and ethical AI deployment.
  • Research and prototype novel algorithms to stay ahead of industry trends leading into 2026.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, machine learning, or data science.
  • Extensive experience with Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Natural Language Processing (NLP) and Transformer architectures.
  • Proven track record of deploying high-impact ML models into production environments.
  • Strong grasp of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Cloud Architecture AWS GCP

Ready to Take This Challenge?

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