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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

FutureScale Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are FutureScale Inc., a premier think-tank and engineering firm pioneering the technological landscape for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our core infrastructure team. If you are passionate about building scalable, sentient-ready systems and shaping the future of human-computer interaction, this is your opportunity to define the decade.

In this role, you will bridge the gap between theoretical AI research and practical, large-scale implementation. You will be instrumental in architecting the neural frameworks that will power our clients' next-generation digital ecosystems. Join us in building the foundation for the future.

Responsibilities

  • Architect and deploy scalable machine learning models capable of handling petabyte-scale data streams in real-time.
  • Lead the design of the 2026 technology stack, integrating quantum computing interfaces with classical cloud infrastructure.
  • Mentor a team of 8+ junior data scientists and AI engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust AI solutions.
  • Define best practices for data privacy, ethical AI usage, and system security within the 2026 framework.
  • Oversee the deployment of Generative AI agents and autonomous decision-making systems.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering with a focus on AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Proven track record of leading large-scale ML projects from conception to production.
  • Experience with edge computing and IoT integration for 2026 smart ecosystems.
  • Strong understanding of ethical AI principles and regulatory compliance (GDPR, CCPA).

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Azure Machine Learning Deep Learning Distributed Systems Edge Computing Cloud Architecture

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