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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect - 2026 Vision | San Francisco, CA

Chronos Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the future of technology? Chronos Systems is seeking a visionary Senior AI Strategy Architect to lead our innovation pipeline through 2026. This is a rare opportunity for a technical leader who thrives on ambiguity and long-term strategic planning.

In this role, you will not just implement existing technologies; you will define the strategic architecture that will define our company's trajectory for the next three years. You will work closely with C-Suite executives and R&D leaders to identify emerging trends in Generative AI, Quantum Computing, and Autonomous Systems.

As a key driver of our 2026 vision, you will ensure our engineering teams are equipped to build scalable, secure, and ethically sound systems that meet the demands of a rapidly evolving digital landscape.

Responsibilities

  • Develop and articulate a comprehensive 2026 Technology Roadmap aligned with business objectives.
  • Lead the architectural design for next-generation AI and Machine Learning infrastructure.
  • Identify emerging tech trends (e.g., LLMs, Edge AI) and evaluate their feasibility for implementation.
  • Collaborate with cross-functional teams to define technical standards and best practices.
  • Mentor senior engineers and architects to foster a culture of innovation.
  • Conduct competitive analysis to ensure our tech stack remains industry-leading by 2026.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Strong understanding of Deep Learning, Neural Networks, and NLP.
  • Proven track record of leading technical strategy in a fast-paced environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent verbal and written communication skills for executive-level presentations.
  • Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).

Required Skills

Artificial Intelligence Machine Learning Strategy Architecture Python Cloud Computing Neural Networks Leadership

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