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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect for 2026 | San Francisco, CA

FutureScale Systems
San Francisco
Estimated Salary
USD 185.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the systems of tomorrow? FutureScale Systems is seeking a visionary AI Architect to lead our infrastructure strategy for the 2026 era. In this pivotal role, you will design and implement scalable, high-performance AI solutions that define the next generation of enterprise technology.

We are building the backbone for the autonomous future. As a key member of our engineering leadership, you will bridge the gap between cutting-edge research and production-grade infrastructure, ensuring our systems are resilient, secure, and ready for the demands of 2026.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that will shape the global technological landscape.

Responsibilities

  • Design and deploy scalable AI infrastructure to support enterprise-wide Large Language Model (LLM) deployments and autonomous agents.
  • Optimize model performance and latency using advanced inference techniques and edge computing solutions.
  • Architect fault-tolerant, high-availability cloud environments on AWS and GCP.
  • Collaborate with data scientists and product managers to translate research prototypes into production-ready services.
  • Establish best practices for MLOps, including model versioning, CI/CD pipelines, and automated monitoring.
  • Lead technical strategy for the integration of emerging AI technologies into legacy systems.
  • Conduct code reviews and mentor junior engineers in AI engineering principles.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Experience with cloud platforms (AWS, GCP) and serverless architectures.
  • Proven track record of deploying production AI models with high availability.
  • Excellent communication skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker MLOps Machine Learning Deep Learning Distributed Systems Cloud Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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