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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Vision

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

Job Description

We are at the precipice of a technological renaissance, and we are looking for a visionary Senior AI Architect to help define the landscape of 2026 and beyond. At OmniFuture Technologies, we aren't just building software; we are architecting the future of human-machine interaction.

In this pivotal role, you will lead the design of next-generation artificial intelligence systems, ensuring scalability, efficiency, and ethical integrity. You will bridge the gap between theoretical research and production-ready engineering, working with top-tier talent to solve the most complex challenges of the decade.

If you are passionate about the future of AI and possess the technical prowess to build systems that matter, we want to hear from you.

Responsibilities

  • Architect and lead the development of scalable AI/ML systems aligned with our 2026 strategic roadmap.
  • Research and implement cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with product leaders to translate complex business requirements into technical specifications.
  • Establish and enforce best practices for code quality, system architecture, and data security.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation.
  • Optimize existing neural network models for performance and latency reduction.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of distributed systems, cloud infrastructure (AWS, Azure, or GCP), and containerization (Docker/Kubernetes).
  • Strong experience with MLOps and model deployment strategies.
  • Proven ability to lead cross-functional teams and manage complex technical projects.

Required Skills

Python Machine Learning Deep Learning NLP Computer Vision TensorFlow PyTorch Cloud Computing MLOps Distributed Systems

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