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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect: 2026 Initiative

FutureScale Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on a mission to define the technological landscape by 2026. We are seeking a visionary AI Architect: 2026 Initiative to lead our research and development team in building the next generation of autonomous systems.


In this pivotal role, you will architect the infrastructure for our most ambitious projects, ensuring our solutions are not just current, but truly future-proof. You will work at the forefront of deep learning, neural architecture search, and scalable cloud infrastructure, directly influencing our roadmap for the coming years.


If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and want to be part of a team that is shaping the future, we want to hear from you.

Responsibilities

  • Design and implement cutting-edge AI models for the 2026 product roadmap, focusing on scalability and efficiency.
  • Lead the technical strategy for our Neural Network Optimization team, overseeing architecture design and implementation.
  • Collaborate with cross-functional teams to seamlessly integrate AI into core business workflows and product ecosystems.
  • Ensure the ethical alignment and robustness of all AI deployments through rigorous testing and validation.
  • Conduct deep research into emerging AI paradigms to maintain a competitive edge in the market.
  • Mentor junior engineers and define coding standards for the AI department.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven experience (5+ years) in designing and deploying large-scale machine learning systems in production environments.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Cloud Computing AWS Docker Kubernetes AI Architecture

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