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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect: 2026 Strategic Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 225.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future of Intelligence in 2026. Nexus Horizon is pioneering the next generation of autonomous systems and generative intelligence. We are seeking a visionary Principal AI Architect to lead our research division, focusing on the technological breakthroughs required to define the landscape of the year 2026.

In this role, you won't just write code; you will architect the future of human-machine interaction. You will be at the forefront of integrating Large Language Models (LLMs) with real-time decision-making agents, ensuring our solutions are ethical, scalable, and revolutionary.

Responsibilities

  • Architect Next-Gen AI Systems: Design and oversee the implementation of cutting-edge agentic AI workflows and multi-modal models for enterprise applications.
  • Lead R&D Initiatives: Spearhead research projects focused on long-horizon reasoning and autonomous decision-making capabilities for the 2026 roadmap.
  • Mentorship & Culture: Cultivate a high-performance engineering culture by mentoring junior researchers and senior engineers alike.
  • Model Optimization: Drive efficiency improvements in model training pipelines and deployment strategies to reduce latency and energy consumption.
  • Stakeholder Communication: Translate complex technical concepts into compelling business strategies for executive leadership and investors.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership or architectural role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Domain Knowledge: Proven track record of deploying LLMs or large-scale neural networks in production environments.
  • Soft Skills: Exceptional problem-solving abilities and the communication skills to bridge the gap between engineering and business.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Kubernetes Agile Leadership

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