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Lead Generative AI Architect (Project 2026)

Nova Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future of Intelligence. Nova Horizon Systems is seeking a visionary Lead Generative AI Architect to spearhead Project 2026, a revolutionary initiative aimed at creating sentient-like AI models capable of solving complex global challenges. We are building the infrastructure for the next decade of human-machine interaction, and we need a technical mastermind to lead the charge.

In this role, you will define the neural pathways, ethical frameworks, and computational architectures that will define the industry standard for the mid-2020s and beyond. You will bridge the gap between theoretical AI research and scalable, real-world deployment.

Responsibilities

  • Architect and implement scalable, high-performance generative AI models, including LLMs, Diffusion models, and Transformers.
  • Lead a cross-functional team of data scientists, ML engineers, and ethicists to drive technical excellence.
  • Define the technical roadmap for Project 2026, ensuring robust scalability, security, and fault tolerance.
  • Collaborate with product leadership to translate futuristic concepts into deployable, production-grade code.
  • Establish best practices for AI safety, bias mitigation, and responsible deployment in high-stakes environments.
  • Conduct cutting-edge research to stay ahead of the curve in AI evolution.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Proven track record of leading large-scale AI projects or academic research initiatives.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • PhD or Master’s degree in Computer Science, AI, or a related technical field is strongly preferred.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.

Required Skills

Generative AI Machine Learning Python TensorFlow PyTorch System Architecture Leadership Artificial Intelligence NLP Cloud Computing

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