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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect - Project 2026

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

Job Description

We are seeking a visionary Lead AI Architect to join our elite team at Chronos Future Systems. Our mission is to define the technological landscape of 2026 and beyond. You will be responsible for architecting scalable, next-generation artificial intelligence systems that power our core products and pioneer new market standards.

If you are a thought leader who thrives in ambiguity and wants to build the future of human-machine interaction, this is your opportunity to leave a permanent mark on the industry.

Responsibilities

  • Design and implement the core AI infrastructure roadmap for our 2026 vision, focusing on large-scale generative models.
  • Lead a high-performing team of ML engineers and data scientists in the research and deployment of novel algorithms.
  • Optimize deep learning pipelines for low-latency inference and high-throughput processing.
  • Collaborate with product leaders to translate futuristic concepts into viable engineering solutions.
  • Establish best practices for MLOps, ensuring robust monitoring and governance of production models.
  • Define technical standards and mentor junior staff to foster a culture of innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Extensive expertise in Python, PyTorch, TensorFlow, and CUDA programming.
  • Proven track record of deploying production-ready AI systems serving millions of users.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow CUDA MLOps Distributed Systems Cloud Computing AWS Kubernetes Deep Learning Generative AI

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