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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

FutureScale Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technical strategy for our groundbreaking 2026 product roadmap. At FutureScale Systems, we are building the infrastructure for the next generation of artificial intelligence. You will be responsible for designing scalable, robust, and secure machine learning systems that power our global platform.


In this role, you will bridge the gap between theoretical research and practical engineering, ensuring our solutions are not only state-of-the-art but also production-ready. If you are passionate about the future of AI and want to leave a lasting legacy by defining the architecture of tomorrow, we want to hear from you.


What You Will Do:

Responsibilities

  • Architectural Leadership: Design and implement complex, large-scale machine learning architectures and data pipelines optimized for high availability and performance.
  • 2026 Roadmap Execution: Translate business objectives into technical strategies, leading the development of features that align with our 2026 vision.
  • Model Development: Oversee the end-to-end lifecycle of AI models, from data ingestion and preprocessing to training, evaluation, and deployment.
  • Cloud Infrastructure: Manage and optimize cloud resources on AWS or Azure, ensuring cost-efficiency and scalability.
  • Mentorship: Guide and mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaboration: Work closely with cross-functional teams including product managers, researchers, and security experts to deliver integrated solutions.

Qualifications

  • Education: Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or architect role.
  • Programming: Deep proficiency in Python, PyTorch, or TensorFlow.
  • Infrastructure: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Proven track record of solving complex technical challenges and optimizing system performance.
  • Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Machine Learning Deep Learning Data Engineering Cloud Architecture

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