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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Future Tech

Zai Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems?

At Zai Horizon, we are not just building software for today; we are engineering the roadmap for 2026. As a Senior AI Architect, you will lead the design and implementation of cutting-edge AI solutions that define the next generation of human-computer interaction. Join a team of elite engineers pushing the boundaries of Generative AI, Machine Learning, and Neural Networks.

Why Join Us?

  • Impactful Work: Directly influence the strategic direction of our flagship products.
  • Premium Culture: Work in a top-tier environment focused on innovation, autonomy, and growth.
  • Future-Ready: Be at the forefront of the AI revolution.

We are looking for a visionary leader who can bridge the gap between theoretical AI research and scalable production systems.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines and AI infrastructure for the 2026 roadmap.
  • Lead a high-performing team of AI Engineers and Data Scientists in designing novel neural architectures.
  • Collaborate with Product and Engineering teams to translate complex business requirements into technical AI solutions.
  • Establish best practices for MLOps, data governance, and model explainability.
  • Stay ahead of industry trends to ensure our technology remains competitive in the rapidly evolving AI landscape.
  • Drive technical decision-making regarding cloud infrastructure, hardware acceleration, and algorithmic efficiency.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5 years of professional experience in designing and implementing large-scale AI systems.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience with Large Language Models (LLMs), Transformers, and Generative AI frameworks.
  • Strong understanding of distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Exceptional leadership skills with a track record of mentoring engineering talent.

Required Skills

Python Machine Learning Deep Learning Neural Networks PyTorch TensorFlow MLOps Cloud Computing AWS Kubernetes Generative AI LLMs Data Science System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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