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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

At Nexus Horizon Technologies, we are building the operating system for the year 2026. We are looking for a visionary Principal AI Architect to lead our research division. You will be responsible for architecting scalable, high-performance AI systems that redefine human-computer interaction. If you are passionate about the next generation of generative AI, autonomous agents, and quantum-ready algorithms, this is your opportunity to lead from the front.

What You'll Do

As a Principal Architect, you will bridge the gap between theoretical research and production-grade engineering. You will set the technical vision for our platforms, ensuring they are robust, secure, and future-proof.

Responsibilities

  • Define and execute the 2026 AI roadmap, focusing on Generative AI, Reinforcement Learning, and Autonomous Systems.
  • Design distributed, fault-tolerant microservices architectures capable of handling petabyte-scale data streams.
  • Lead the migration to next-gen GPU clusters and optimize inference latency for real-time applications.
  • Mentor senior engineering teams and establish coding standards for AI infrastructure.
  • Collaborate with product leadership to translate futuristic concepts into actionable technical specifications.
  • Ensure compliance with global AI ethics, safety, and data privacy regulations.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in PyTorch, TensorFlow, or JAX, with a proven track record of deploying LLMs at scale.
  • Experience designing cloud-native architectures on AWS, GCP, or Azure.
  • Strong understanding of MLOps, CI/CD pipelines, and model versioning strategies.
  • Excellent verbal and written communication skills for technical stakeholder management.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing (AWS/GCP) MLOps NLP PyTorch TensorFlow Kubernetes

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