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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Chronos Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Chronos Future Labs is seeking a visionary Senior AI Architect to lead our R&D division. We are building the foundational infrastructure for the next generation of generative intelligence, and we need a leader who can bridge the gap between theoretical breakthroughs and scalable production systems.

In this role, you will not just implement existing solutions; you will architect the future. You will work on proprietary models designed to revolutionize human-computer interaction by the year 2026. Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible.

Why Join Us?

  • Work on high-impact, cutting-edge projects.
  • Competitive compensation package and equity.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Design and architect scalable, fault-tolerant AI systems tailored for the 2026 technological landscape.
  • Lead the research and development of next-generation Large Language Models (LLMs) and multimodal systems.
  • Optimize model inference latency and cost-efficiency across distributed cloud environments.
  • Define technical roadmaps and architectural standards for the engineering team.
  • Collaborate with product managers and stakeholders to translate business requirements into technical specifications.
  • Conduct rigorous code reviews and mentor junior architects and engineers.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and C++.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, Azure).
  • Experience with MLOps, model versioning, and continuous integration/continuous deployment (CI/CD).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design MLOps Cloud Computing Distributed Systems AWS GCP

Ready to Take This Challenge?

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