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Information Technology 🏢 Full Time ⭐️ Verified

Director of Future Tech & AI Architecture - San Francisco

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 195.000 – USD 265.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Director of Future Tech & AI Architecture to lead our strategic initiatives for 2026 and beyond. In this pivotal role, you will define the roadmap for integrating next-generation technologies—including advanced generative AI, autonomous agents, and sustainable computing—into our core product ecosystem.

You will act as a bridge between our engineering teams and executive leadership, ensuring that our technical strategies are scalable, ethical, and future-proof. This is an opportunity to shape the future of tech in a dynamic, high-growth environment.

Why Join Us?

  • Shape the future of AI and autonomous systems.
  • Work with a world-class team of engineers and strategists.
  • Competitive compensation and equity package.
  • Hybrid work model based in San Francisco.

Responsibilities

  • Define and execute the long-term technology roadmap for 2026 and beyond, focusing on AI evolution and quantum-ready architectures.
  • Lead the architectural design for scalable, secure, and high-performance systems integrating Large Language Models (LLMs) and Agentic workflows.
  • Collaborate with cross-functional teams to identify emerging technologies and evaluate their potential for commercial application.
  • Establish governance frameworks for AI ethics, data privacy, and compliance with evolving regulations.
  • Mentor senior engineering leads and foster a culture of innovation and technical excellence.
  • Present complex technical strategies to stakeholders and investors with clarity and precision.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a leadership role within AI, Machine Learning, or Future Tech.
  • Deep technical expertise in Python, distributed systems, and cloud-native architectures (AWS/GCP/Azure).
  • Proven track record of leading strategic technical transformations and delivering complex projects on time.
  • Strong understanding of AI ethics, safety protocols, and responsible AI deployment.
  • Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred).
  • Exceptional communication skills with the ability to translate technical concepts for non-technical audiences.

Required Skills

Python Machine Learning Cloud Architecture System Design AI Strategy Agile Leadership Generative AI Quantum Computing AWS GCP

Ready to Take This Challenge?

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