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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead Project 2026, a revolutionary initiative aimed at redefining the boundaries of generative intelligence and autonomous systems. At Nexus Horizon Systems, we don't just predict the future; we engineer it.

In this role, you will be the primary technical strategist for our flagship initiative, responsible for designing scalable, secure, and ethical AI frameworks that will power the next decade of technological evolution.

Responsibilities

  • Architect and lead the end-to-end technical roadmap for Project 2026, ensuring alignment with long-term business objectives.
  • Design scalable machine learning infrastructure and pipelines to handle petabyte-scale data processing.
  • Lead a cross-functional team of data scientists, ML engineers, and researchers to drive innovation.
  • Establish best practices for model deployment, monitoring, and ethical AI governance.
  • Collaborate with product leadership to translate complex AI capabilities into user-centric solutions.
  • Research and integrate cutting-edge advancements in Large Language Models (LLMs) and neural architectures.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 10 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of delivering large-scale, production-ready AI systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong leadership skills with the ability to mentor engineering teams and influence technical strategy.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design Cloud Architecture AWS Kubernetes Leadership Generative AI

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