Home Job Details
C
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Initiative | San Francisco, CA

Chronos Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future?

Chronos Systems is pioneering the Project 2026 initiative—a cutting-edge roadmap to revolutionize autonomous infrastructure and temporal data processing. We are seeking a visionary Senior AI Architect to lead our engineering team in designing scalable, resilient systems for the next decade.

In this role, you won't just write code; you will define the paradigm for how machines interact with time-sensitive data streams. Join us in building the foundation for a smarter, more efficient future.

Why Join Project 2026?

  • Impact: Directly influence the architectural direction of a multimillion-dollar initiative.
  • Flexibility: Hybrid work model with headquarters in the heart of San Francisco.
  • Growth: Accelerated career trajectory within a forward-thinking tech ecosystem.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 core infrastructure, ensuring high availability and scalability.
  • Define technical strategies for integrating advanced AI models with real-time temporal data processing.
  • Collaborate with product managers and cross-functional teams to translate business requirements into robust technical solutions.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and system performance optimization to ensure zero-latency operations.
  • Stay ahead of industry trends in Generative AI, Quantum Computing, and Edge Intelligence.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed system design.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning System Design Cloud Architecture Kubernetes Docker SQL NoSQL AI Neural Networks Data Structures Algorithms

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All