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Senior AI Architect (2026 Vision) - San Francisco, CA

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our groundbreaking initiatives for the 2026 Vision project. At OmniFuture Technologies, we are not just building the future; we are defining the standards for the year 2026 and beyond. You will be at the forefront of integrating advanced Artificial Intelligence with next-generation infrastructure.

As part of our elite R&D division, you will be responsible for architecting scalable, fault-tolerant neural networks and ensuring our AI systems are compliant with emerging global standards for 2026. This is a high-impact role for a technical leader who wants to shape the trajectory of human-machine interaction.

Why join us?

  • Work on the cutting edge of technology preparing for the 2026 era.
  • Competitive compensation package and equity options.
  • Flexible remote and hybrid work culture.

Responsibilities

  • Architect and deploy end-to-end AI solutions aligned with the 2026 Vision roadmap.
  • Lead the design of proprietary machine learning models and deep learning frameworks.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product lines.
  • Establish best practices for data governance and algorithmic transparency.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous performance testing and optimization for high-scale production environments.

Qualifications

  • Master’s degree in Computer Science, AI, Robotics, or a related field (PhD preferred).
  • Minimum of 5 years of experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Proven track record of delivering AI products to market.
  • Strong knowledge of software development lifecycle (SDLC) and agile methodologies.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch NLP Deep Learning System Architecture 2026 Vision Cloud Computing AWS Docker

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