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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Future Tech

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

Job Description

We are on the precipice of a technological renaissance. As we approach the 2026 landscape, OmniFuture Corp is seeking a visionary Senior AI Architect to spearhead the development of next-generation intelligent systems.

In this pivotal role, you will not merely write code; you will architect the core infrastructure for the future of work. You will leverage cutting-edge Large Language Models (LLMs), Generative AI, and autonomous agents to solve complex enterprise challenges. If you are passionate about shaping the technology stack of tomorrow and possess a track record of delivering high-impact software, we want to hear from you.

Why join us? We offer a competitive compensation package, significant equity, and the opportunity to define the tech standards of the 2026 era.

Responsibilities

  • Design and deploy scalable, high-performance AI infrastructure tailored for the demands of 2026 and beyond.
  • Lead research initiatives into emerging technologies, including Quantum Computing integration and Neuromorphic Engineering.
  • Establish and enforce best practices for AI safety, ethics, and model governance across all projects.
  • Collaborate with cross-functional teams to seamlessly integrate advanced AI capabilities into core product ecosystems.
  • Optimize neural networks for high-performance edge computing and real-time processing requirements.
  • Mentor junior architects and data scientists, fostering a culture of continuous innovation and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and design.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern cloud-native architectures (AWS/GCP/Azure).
  • Proven track record of delivering and scaling Large Language Models (LLMs) or Generative AI applications.
  • Strong understanding of distributed systems, algorithmic complexity, and high-availability system design.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AI Ethics Generative AI PyTorch TensorFlow AWS GCP System Design

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