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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure projects. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. We are looking for a leader who is not just keeping up with trends, but is actively shaping the future of intelligent systems. Join us in building the neural networks that will power the next decade of digital transformation.

Responsibilities

  • Architect and deploy scalable, high-performance AI models for enterprise applications.
  • Define the long-term AI roadmap and technical strategy for 2026 and beyond.
  • Lead a team of data scientists and ML engineers to drive innovation and code quality.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
  • Optimize existing algorithms for real-time inference and edge computing deployment.
  • Ensure robust data governance, security, and compliance standards are met.
  • Mentor junior staff and conduct technical reviews to foster a culture of excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Artificial Intelligence.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Proven track record of leading large-scale machine learning projects from conception to production.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP MLOps Cloud Computing Distributed Systems Leadership

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