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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 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027



Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape for the year 2026 and beyond. Our mission is to pioneer the next generation of generative intelligence, solving complex problems with scalable, robust machine learning solutions.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, leading a team of innovators in building the systems that will define the future of human-computer interaction.

Why Join Us?
We offer competitive compensation, stock options, and the opportunity to work on projects that matter. If you are passionate about the future of AI and want to shape the 2026 tech stack, we want to hear from you.

Responsibilities

  • Architect and implement scalable AI infrastructure capable of handling next-gen data loads and real-time inference.
  • Lead the research and development of Large Language Models (LLMs) and multimodal generative systems.
  • Optimize model performance, latency, and accuracy for deployment in production environments.
  • Collaborate closely with product and engineering teams to integrate AI solutions into core business workflows.
  • Mentor and guide data scientists and machine learning engineers in best practices and architectural design.
  • Stay ahead of industry trends in AI, ensuring our technology stack remains cutting-edge for 2026 and beyond.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in designing, deploying, and maintaining machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of working with LLMs, Transformers, and advanced NLP architectures.
  • Strong understanding of MLOps pipelines, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps LLMs NLP Cloud Architecture Kubernetes Docker

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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