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Senior AI Architect | Project 2026 | San Francisco

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the technical strategy for Project 2026. As we stand on the precipice of a new era in artificial intelligence and quantum computing, we need a leader who can design the neural infrastructures of tomorrow.

In this pivotal role, you will not just write code; you will define the future of human-computer interaction. You will work with a world-class team of engineers and researchers to build scalable, resilient, and revolutionary AI systems that will set the industry standard for the next decade.

Why join us?

  • Work on the bleeding edge of technology.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with state-of-the-art offices in SF.
  • Access to the latest hardware and research resources.

Responsibilities

  • Architect and deploy state-of-the-art machine learning models for high-velocity environments.
  • Lead the technical roadmap for Project 2026, ensuring scalability and security.
  • Optimize deep learning algorithms for massive data throughput and real-time inference.
  • Mentor and manage a team of elite software engineers and data scientists.
  • Collaborate with cross-functional product teams to integrate AI solutions seamlessly.
  • Stay ahead of the curve in emerging AI trends, including generative models and quantum AI.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and MLOps pipelines.
  • Strong proficiency in distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/K8s).
  • Proven track record of leading technical teams in high-growth environments.
  • Exceptional problem-solving skills and ability to work in ambiguous, fast-paced settings.

Required Skills

Python Machine Learning Deep Learning Distributed Systems Cloud Architecture PyTorch TensorFlow MLOps Kubernetes AWS Leadership

Ready to Take This Challenge?

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