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Senior AI Architect (2026 Vision)

FutureScale Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026. FutureScale Inc. is seeking a visionary Senior AI Architect to lead the design and implementation of next-generation artificial intelligence systems. You will be at the forefront of the AI revolution, building scalable, ethical, and high-performance models that will power the enterprises of tomorrow.

Join our elite team of engineers and researchers in the heart of San Francisco. If you are passionate about pushing the boundaries of what is possible with AI and want to build the infrastructure for the future, we want to hear from you.

Responsibilities

  • Design and architect scalable AI infrastructure capable of supporting enterprise-grade workloads by 2026.
  • Lead the research and implementation of cutting-edge Deep Learning and Machine Learning models.
  • Optimize neural network architectures for speed, accuracy, and energy efficiency.
  • Establish best practices for data governance, model monitoring, and AI ethics.
  • Collaborate with cross-functional teams to integrate AI solutions into existing products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or AI Architecture.
  • Expert proficiency in Python and major frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of Generative AI, Large Language Models (LLMs), and Reinforcement Learning.
  • Proven track record of leading technical projects from conception to deployment.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes Docker Machine Learning Deep Learning Natural Language Processing Generative AI System Design

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