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Lead AI Architect - 2026 Future Labs

2026 Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on the precipice of a new era. 2026 Future Labs is pioneering the next generation of autonomous systems and neural interfaces. We are seeking a visionary Lead AI Architect to design the infrastructure that will define the technological landscape of the future.

In this role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will lead a world-class team of data scientists and engineers, ensuring our solutions are not only cutting-edge but also secure, efficient, and transformative. If you are passionate about building the impossible, this is your opportunity to leave a lasting mark on the tech industry.

Responsibilities

  • Architect and oversee the end-to-end lifecycle of AI and machine learning systems, from data ingestion to model deployment.
  • Define technical vision and strategy for the AI department, aligning it with business goals.
  • Lead the design of scalable distributed systems capable of handling petabyte-scale data processing.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams including product managers, security experts, and hardware engineers.
  • Stay abreast of the latest advancements in generative AI, transformer models, and quantum computing.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Deep understanding of machine learning algorithms, statistical modeling, and big data technologies.
  • Strong experience in cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines.
  • Exceptional leadership skills with a proven track record of managing high-performing engineering teams.

Required Skills

Python TensorFlow PyTorch Machine Learning Distributed Systems Kubernetes AWS Cloud Architecture Leadership Neural Networks

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