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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 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation neural networks and generative models designed for the year 2026 and beyond.

In this high-impact role, you won't just be writing code; you will be defining the ethical and technical frameworks for the AI systems that will define the next decade. We are looking for a thought leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Autonomous Agents.

Responsibilities

  • Architect and deploy scalable AI infrastructure capable of processing petabytes of data.
  • Lead the research and development of proprietary Generative AI models and fine-tuning strategies.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
  • Ensure model transparency, fairness, and safety in alignment with emerging regulatory standards.
  • Mentor junior engineers and foster a culture of continuous learning and innovation within the technical department.
  • Optimize neural network performance for real-time inference in edge and cloud environments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in Machine Learning Engineering, Deep Learning, or Applied AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Proven track record of leading complex ML projects from ideation to production deployment.
  • Strong understanding of Transformer architectures, Reinforcement Learning, and NLP.
  • Experience with MLOps tools and CI/CD pipelines for machine learning.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes Cloud Architecture AI Ethics

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