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Lead AI Architect (2026 Vision)

OmniFuture Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect (2026 Vision) to join OmniFuture Technologies. As we prepare for the next major leap in artificial intelligence, you will define the architectural blueprint that will define our capabilities through 2026 and beyond. You will bridge the gap between theoretical AI research and scalable production systems.

In this high-impact role, you will lead a team of elite engineers, set technical standards for our AI infrastructure, and ensure our solutions are future-proof. If you are passionate about the future of technology and want to shape the landscape of AI in the United States, this is your opportunity.

Responsibilities

  • Define and execute the comprehensive 2026 AI Roadmap, aligning technical strategies with business goals.
  • Architect scalable, high-performance machine learning and deep learning pipelines capable of handling massive data volumes.
  • Lead the design and implementation of our proprietary Large Language Models (LLMs) and generative AI frameworks.
  • Oversee system architecture reviews, ensuring security, reliability, and performance standards are met.
  • Collaborate with cross-functional teams including Product, Data Science, and Engineering to integrate AI solutions into core products.
  • Mentor senior engineers and foster a culture of innovation and technical excellence within the AI division.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 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, or similar deep learning frameworks.
  • Proven experience designing and deploying large-scale distributed systems (Kubernetes, Docker, AWS/GCP).
  • Strong background in Natural Language Processing (NLP) and Generative AI models.
  • Exceptional leadership skills with a track record of managing high-performing engineering teams.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow AWS GCP Kubernetes Docker NLP Deep Learning System Architecture Leadership

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