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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026 | San Francisco

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Shape the Future of Technology in 2026

We are looking for a visionary Senior AI Architect to lead Project 2026, our groundbreaking initiative to redefine the boundaries of generative intelligence and sustainable computing. If you are passionate about building scalable, high-performance systems that will power the digital economy of tomorrow, we want to meet you.

At Nexus Horizon, we don't just predict the future; we engineer it. As part of our elite architecture team, you will bridge the gap between theoretical AI research and robust, production-grade infrastructure.

Responsibilities

  • Lead System Design: Architect and oversee the development of next-generation AI infrastructures capable of handling petabyte-scale data streams and complex neural networks.
  • Project 2026 Leadership: Direct the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals and emerging technological standards.
  • Model Optimization: Fine-tune and optimize Large Language Models (LLMs) and transformer architectures for real-time latency and cost efficiency.
  • Cloud & Edge Integration: Design hybrid cloud solutions that seamlessly integrate on-premise quantum-ready hardware with global edge networks.
  • Talent Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and data scientists to reach their full potential.

Qualifications

  • Experience: 8+ years of experience in software architecture, with at least 3 years specifically in Artificial Intelligence and Machine Learning infrastructure.
  • Tech Stack: Deep proficiency in Python, Rust, or Go; extensive experience with Kubernetes, Docker, and microservices.
  • AI Expertise: Proven track record deploying and scaling Generative AI models (e.g., GPT, LLaMA, Claude) in production environments.
  • Education: Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Rust Go Kubernetes Docker Machine Learning Generative AI LLM Cloud Architecture Microservices Neural Networks System Design

Ready to Take This Challenge?

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