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Lead AI Architect (2026 Era) | San Francisco, CA

OmniFuture Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on a mission to redefine the technological landscape for the year 2026 and beyond. OmniFuture Technologies is seeking a visionary Lead AI Architect to spearhead the development of next-generation autonomous systems and cognitive interfaces. In this role, you will not just write code; you will architect the neural foundations of our future products.

You will work at the intersection of deep learning, quantum computing, and human-computer interaction. If you are passionate about building intelligent systems that learn, adapt, and evolve, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in the heart of San Francisco.
  • Access to top-tier hardware and research resources.

Responsibilities

  • Design and implement scalable AI architectures for autonomous agents and predictive modeling systems.
  • Oversee the full machine learning lifecycle from data ingestion and feature engineering to model deployment and monitoring.
  • Collaborate with cross-functional teams of engineers, designers, and product managers to deliver high-impact 2026 roadmaps.
  • Optimize existing algorithms for speed, accuracy, and energy efficiency in edge computing environments.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Stay abreast of the latest breakthroughs in AI safety, interpretability, and generative models.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 7+ years of professional experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
  • Deep proficiency in Python, C++, and TensorFlow/PyTorch.
  • Experience designing systems that handle high-volume, low-latency data streams.
  • Strong understanding of neural network architectures, natural language processing (NLP), and computer vision.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch C++ Machine Learning Deep Learning System Architecture NLP Cloud Computing AWS Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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