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Senior AI Architect (2026 Focus)

OmniFuture Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to define the technology of tomorrow? OmniFuture Corp is pioneering the next generation of autonomous systems and is seeking a visionary Senior AI Architect to lead our 2026 roadmap. You will be at the forefront of building the AI infrastructure that will define the future landscape of enterprise automation and generative intelligence. If you have a passion for pushing the boundaries of what is possible with Large Language Models (LLMs) and Agentic AI workflows, we want to hear from you.

Responsibilities

  • Architect and design scalable Machine Learning and Deep Learning infrastructure for production environments.
  • Lead the research, integration, and optimization of cutting-edge Generative AI models and Autonomous Agents.
  • Collaborate closely with product managers and engineering teams to translate business requirements into technical roadmaps.
  • Implement robust MLOps pipelines to ensure model reliability, performance monitoring, and CI/CD integration.
  • Conduct code reviews, technical mentoring, and architecture reviews for the engineering team.
  • Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 technological horizon.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related technical field; equivalent practical experience is required.
  • 5+ years of professional experience in software engineering or data science with a focus on AI/ML.
  • Expert proficiency in Python and major ML frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP MLOps AWS GCP Kubernetes Docker

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