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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect

FutureScale Inc.
Seattle
Estimated Salary
USD 220.000 – USD 300.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the next generation of intelligent systems? FutureScale Inc. is at the forefront of innovation, building scalable AI solutions that define the future of enterprise technology. We are looking for a visionary Senior AI Architect to lead our engineering efforts and drive the adoption of cutting-edge machine learning models.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade applications. You will design robust architectures, mentor a high-performing team of engineers, and ensure our solutions are scalable, secure, and impactful. If you are passionate about the future of technology and thrive in a fast-paced environment, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable AI and machine learning models for large-scale production environments.
  • Lead architectural decisions regarding data pipelines, model training, and inference optimization.
  • Collaborate with cross-functional teams to integrate AI capabilities into existing software ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Stay abreast of the latest advancements in AI, LLMs, and MLOps to drive innovation within the company.
  • Ensure compliance with data privacy regulations and industry best practices for AI ethics.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
  • Minimum of 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven experience in deploying and serving large language models (LLMs) and transformer architectures.
  • Excellent problem-solving skills and the ability to translate complex business requirements into technical solutions.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker MLOps LLMs Machine Learning Architecture

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