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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on a mission to redefine the technological landscape of the next decade. As a Lead AI Architect, you will spearhead the development of our cutting-edge generative models and autonomous systems scheduled for the 2026 rollout. You will bridge the gap between theoretical research and scalable production engineering, ensuring our AI infrastructure is robust, secure, and future-proof.

Join a team of world-class engineers and data scientists committed to building the future.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for the 2026 ecosystem.
  • Lead the technical strategy for next-gen neural network optimization and edge computing integration.
  • Mentor senior engineers and guide best practices in AI ethics, data privacy, and model interpretability.
  • Collaborate with cross-functional product teams to translate business goals into technical AI roadmaps.
  • Conduct rigorous code reviews and performance tuning to ensure real-time processing capabilities.
  • Stay ahead of industry trends to integrate emerging technologies (e.g., Quantum-ready algorithms) into our core stack.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering with a strong focus on AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven experience designing systems that handle high-velocity data streams and large-scale inference.
  • Strong background in MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Cloud Computing MLOps System Design Data Engineering Agile

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