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Strategic AI Architect (2026 Horizon) - San Francisco, CA

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Strategic AI Architect to define the blueprint for our 2026 AI roadmap. At FutureScale Technologies, we are building the next generation of autonomous systems that will redefine human-machine collaboration.

In this pivotal role, you will not merely implement existing technologies; you will pioneer the architectures that will power the future. You will work at the frontier of Generative AI, Large Language Models (LLMs), and ethical AI governance, ensuring our solutions are scalable, robust, and aligned with the future needs of our enterprise clients.

If you are ready to leave a legacy in the 2026 tech landscape and lead a world-class team of engineers, we want to hear from you.

Responsibilities

  • Define and execute the long-term AI strategy for the 2026 product lifecycle, focusing on scalability and innovation.
  • Lead the architectural design of complex machine learning pipelines and neural network infrastructures.
  • Collaborate with cross-functional teams to bridge the gap between theoretical AI research and practical, production-grade applications.
  • Establish technical standards, best practices, and mentorship programs for the engineering department.
  • Oversee the integration of emerging AI technologies (e.g., quantum computing interfaces, advanced NLP) into existing systems.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of software engineering experience, with at least 5 years in a senior architectural or leadership role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of leading engineering teams through the full software development lifecycle.
  • Strong understanding of machine learning theory, deep learning architectures, and natural language processing.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch System Architecture Leadership Deep Learning NLP Cloud Computing

Ready to Take This Challenge?

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