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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are building the future of intelligent systems. Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence solutions. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs), generative AI, and autonomous agents, we want to hear from you.

As a key member of our elite engineering team, you will define the architectural roadmap for our AI infrastructure, ensuring scalability, security, and performance. You will work at the intersection of research and production, deploying models that will power the applications of 2026 and beyond.

Why Join Us?

  • Work on cutting-edge technology that shapes the future.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with top-tier equipment.

Responsibilities

  • Design, architect, and deploy scalable AI/ML infrastructure and production pipelines.
  • Lead the research and implementation of advanced deep learning models, focusing on LLMs and Computer Vision.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business needs into technical AI solutions.
  • Ensure data privacy, security, and ethical AI practices across all projects.
  • Stay ahead of industry trends and integrate emerging technologies into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of MLOps, data pipelines, and model versioning.
  • Proven track record of deploying high-impact AI products to production.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM AWS GCP Docker Kubernetes MLOps Data Engineering

Ready to Take This Challenge?

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