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Lead AI Architect | 2026 Visionary Team

Omni Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to build the systems that define the next era of technology? Omni Future Systems is seeking a visionary Lead AI Architect to spearhead our groundbreaking 2026 roadmap.

In this high-impact role, you won't just manage code; you will architect the future of intelligence. We are pushing the boundaries of what's possible, integrating advanced machine learning with next-gen neural interfaces to create systems that adapt and evolve.

Join us in San Francisco to lead a world-class team of engineers and data scientists dedicated to solving humanity's most complex challenges through AI.

Responsibilities

  • Define and execute the technical vision for the 2026 AI product roadmap.
  • Design scalable, fault-tolerant machine learning pipelines and deep learning architectures.
  • Lead the research and development of cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Mentor junior engineers and establish best practices for AI engineering and ethics.
  • Drive technical decision-making regarding hardware acceleration and cloud infrastructure.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Minimum of 5+ years of experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of distributed systems, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale AI models into production.
  • Excellent communication skills and the ability to translate technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision AWS Kubernetes Docker SQL Leadership

Ready to Take This Challenge?

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