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Lead AI Architect (2026 Vision)

FutureScale Inc.
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? FutureScale Inc. is seeking a visionary Lead AI Architect (2026 Vision) to spearhead our next-generation artificial intelligence initiatives. We are building the foundational layer for autonomous agents and hyper-personalized digital ecosystems.


In this role, you will not just maintain existing systems; you will pioneer the technologies that will define the industry standard in 2026. You will work closely with world-class researchers and engineers to deploy scalable, fault-tolerant AI infrastructure that processes billions of transactions daily.


Why join us?

  • Work on cutting-edge Generative AI and Agentic workflows.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Design and implement high-performance AI infrastructure capable of scaling to petabyte-level data processing.
  • Lead the architectural strategy for integrating Large Language Models (LLMs) into production environments.
  • Oversee the optimization of model inference engines to reduce latency and improve cost-efficiency.
  • Mentor senior engineering teams and establish coding best practices for AI/ML projects.
  • Collaborate with product management to translate complex technical requirements into feasible roadmaps.
  • Conduct rigorous code reviews and architectural audits to ensure system integrity.

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 in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, and TensorFlow or JAX.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Strong background in Natural Language Processing (NLP) and Reinforcement Learning.
  • Proven track record of leading cross-functional teams in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker AWS GCP NLP Machine Learning Deep Learning System Architecture AI Engineering

Ready to Take This Challenge?

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