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Lead Architect: Next-Gen AI Systems

Chronos Tech Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Chronos Tech Systems is at the forefront of defining the technological landscape of 2026. We are seeking a visionary Lead Architect: Next-Gen AI Systems to spearhead the development of our proprietary neural infrastructure.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready systems. You will work in a high-performance environment, pushing the boundaries of what is possible with Generative AI and Quantum-Enhanced computing. If you are a technical leader who thrives on complexity and innovation, we want to hear from you.

Why join us?

  • Work on projects that define the AI roadmap for 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium tech benefits.
  • Access to cutting-edge compute resources and research grants.

Responsibilities

  • Design and implement scalable, distributed neural network architectures for next-generation AI models.
  • Oversee the full software lifecycle of AI products, from research prototyping to production deployment.
  • Establish architectural standards and best practices to ensure system reliability, security, and scalability.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
  • Conduct rigorous code reviews and technical mentoring for junior architects and engineers.
  • Research emerging technologies, including LLM optimization and edge AI deployment.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in Python, C++, and distributed systems (Kubernetes, Docker).
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of Deep Learning frameworks (TensorFlow, PyTorch, JAX).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ PyTorch TensorFlow Kubernetes Docker Distributed Systems Machine Learning AI Architecture System Design

Ready to Take This Challenge?

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