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Senior AI Architect | 2026 Vision | Remote USA

Chronos AI Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems designed for the year 2026 and beyond. At Chronos AI Labs, we are building the infrastructure for the future, integrating quantum-ready algorithms with advanced neural networks. If you are passionate about pushing the boundaries of what is possible in machine learning and want to define the standard for AI in the coming decade, this is your opportunity.

In this role, you will spearhead the architecture of our flagship product, ensuring scalability, security, and cutting-edge performance. You will work in a collaborative, high-performance environment with industry leaders in deep learning and predictive analytics.

Responsibilities

  • Design and implement scalable, high-performance AI architectures tailored for future computing hardware.
  • Lead the research and integration of emerging technologies, including Transformer models and Generative AI frameworks.
  • Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Define best practices for data pipeline architecture and MLOps workflows.
  • Collaborate with cross-functional teams including product managers, engineers, and designers to translate complex requirements into technical solutions.
  • Ensure ethical AI compliance and data privacy standards across all projects.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software development and machine learning engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale ML models into production environments.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps AWS Kubernetes Distributed Systems Generative AI

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