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Senior AI Architect (2026 Vision) | San Francisco, CA

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you ready to architect the future?

Chronos Systems is pioneering the next generation of artificial intelligence for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research and development team in building scalable, secure, and ethically sound AI systems. This is a high-impact role for a technical leader who thrives in ambiguity and wants to define the standard for AI in the coming decade.

Why join us?
We offer the chance to work on projects that will define the technological landscape of the 21st century, complete with competitive equity and a remote-first culture that values innovation.

Responsibilities

  • Architect Next-Gen Systems: Design and implement advanced neural network architectures optimized for future computing paradigms and high-volume data processing.
  • Lead Technical Strategy: Define the long-term technical roadmap for AI infrastructure, ensuring alignment with 2026 business goals and scalability requirements.
  • Ensure Ethical AI: Implement rigorous bias detection and fairness frameworks to ensure responsible AI deployment across all platforms.
  • Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and security engineers to translate research into production-ready applications.
  • Mentorship: Guide a team of junior developers and researchers, fostering a culture of continuous learning and technical excellence.
  • Predictive Modeling: Develop predictive models that forecast market trends and user behavior with high accuracy.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior or lead architect role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Rust. Experience with quantum computing libraries is a plus.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems and translate them into elegant technical solutions.
  • Leadership: Strong experience leading diverse teams and managing technical projects from conception to delivery.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Cloud Infrastructure Leadership

Ready to Take This Challenge?

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