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Senior AI Architect (2026 Vision)

FutureScale Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next generation of autonomous intelligence systems for the 2026 era. FutureScale Labs is seeking a visionary Senior AI Architect to lead the design and implementation of our flagship neural engine. You will be responsible for bridging the gap between theoretical AI research and scalable production infrastructure.

Join a team of world-class engineers and researchers dedicated to shaping the future of technology. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Generative AI, we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and distributed computing systems.
  • Lead the research and integration of next-gen Generative AI models (e.g., GPT-5, Llama 4) into core products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams including product managers, designers, and security experts.
  • Optimize model inference latency and improve overall system throughput by 30%+.
  • Define technical roadmap and strategy for AI infrastructure longevity.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of distributed systems, microservices, and cloud-native architecture (AWS/GCP).
  • Proven track record of deploying high-scale AI models in production environments.
  • Strong leadership skills with experience managing high-performing engineering teams.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Distributed Systems Generative AI LLMs System Design Kubernetes Docker

Ready to Take This Challenge?

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