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Senior AI Architect: Project 2026 (San Francisco)

OmniFuture Corp
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of the next decade? OmniFuture Corp is seeking a visionary Senior AI Architect to spearhead Project 2026. We are building the foundational AI infrastructure that will power autonomous systems, quantum-enhanced computing, and next-generation digital ecosystems.

In this high-impact role, you won't just be writing code; you will be architecting the future. You will lead a cross-functional squad of elite engineers and data scientists to deploy Large Language Models (LLMs) capable of reasoning, planning, and executing complex multi-step tasks in real-time.

As part of Project 2026, you will be at the forefront of innovation, bridging the gap between theoretical AI research and production-grade deployment.

Responsibilities

  • Lead the end-to-end architecture of the Project 2026 neural network ecosystem, ensuring scalability and fault tolerance.
  • Design and optimize deep learning pipelines for high-volume, low-latency data processing.
  • Collaborate with product leadership to translate abstract AI capabilities into tangible, market-ready features.
  • Implement rigorous testing and validation protocols to ensure ethical AI deployment and bias mitigation.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Define technical roadmaps and architecture standards for the AI engineering team.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (5+ years of relevant experience).
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of Large Language Models (GPT, BERT), Reinforcement Learning, and Generative AI.
  • Proven experience designing distributed systems on AWS, GCP, or Azure.
  • Strong grasp of software engineering best practices, including CI/CD, containerization (Docker/Kubernetes), and MLOps.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP MLOps Kubernetes Docker NLP Generative AI Project 2026 San Francisco

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