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AI/ML Architect (2026 Vision)

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to engineer the intelligence of tomorrow? OmniFuture Systems is seeking a visionary AI/ML Architect to spearhead the development of our proprietary AGI models, positioning our infrastructure for the technological leap expected in 2026. You will be at the forefront of the AI revolution, designing scalable systems that redefine human-machine interaction.

We are looking for a technical leader who thrives in ambiguity and possesses the foresight to build systems that are future-proof. As we approach the critical era of 2026, your work will directly impact the foundation of our global AI ecosystem.

Responsibilities

  • Architect and deploy scalable machine learning pipelines capable of handling petabyte-scale data streams.
  • Lead research initiatives in Generative AI, Large Language Models (LLMs), and Computer Vision to achieve state-of-the-art performance by 2026.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Establish best practices for MLOps, ensuring reproducibility, monitoring, and automated retraining workflows.
  • Guide the technical vision for AI adoption across the organization, driving innovation and competitive advantage.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering with a specific focus on Machine Learning and Artificial Intelligence.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade AI models that impact millions of users.
  • Familiarity with ethical AI principles, bias mitigation, and responsible AI governance.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps Machine Learning Artificial Intelligence Deep Learning NLP Computer Vision System Architecture

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