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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Next-Gen AI Architect to lead the architectural direction of our cutting-edge projects. As part of the Horizon 2026 initiative, you will define the technical roadmap for our future of work platforms, ensuring our systems are robust, scalable, and at the forefront of artificial intelligence innovation.

You will work in a collaborative environment where your expertise will directly shape the products used by millions. If you are passionate about building the future and possess a deep understanding of system design, we want to hear from you.

Responsibilities

  • Design and implement scalable AI architectures that support complex, high-volume data processing.
  • Lead architectural reviews and make critical technical decisions to ensure system integrity.
  • Collaborate with product managers and engineers to integrate AI models into production environments.
  • Optimize system performance, security, and latency across global infrastructure.
  • Stay ahead of industry trends in Generative AI, LLMs, and Edge Computing.
  • Mentor junior architects and engineering teams to foster a culture of technical excellence.

Qualifications

  • 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern cloud-native frameworks.
  • Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
  • Proven track record of designing systems for high availability and fault tolerance.
  • Experience with Large Language Models (LLMs) and Generative AI pipelines.
  • Master’s degree in Computer Science, Mathematics, or a related technical field is preferred.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AWS Kubernetes TensorFlow System Design Leadership

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