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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are Nexus Horizon Systems, a forward-thinking technology firm at the forefront of the AI revolution. We are seeking a visionary Senior AI Architect to define the technical roadmap for our 2026 and beyond initiatives.

In this high-impact role, you will not just implement existing solutions; you will architect the next generation of intelligent systems. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software engineering.

Why Join Us?

  • Work on cutting-edge projects that shape the future of autonomous agents and generative AI.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium benefits.

The Role:

You will be responsible for the full software lifecycle of our core AI products, ensuring high performance, security, and scalability.

Responsibilities

  • Design and implement scalable microservices architectures for AI model inference and training.
  • Lead the research and integration of emerging technologies, including Large Language Models (LLMs) and reinforcement learning.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Optimize database systems and data pipelines to handle real-time data streams.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in software engineering with a focus on machine learning infrastructure.
  • Strong proficiency in Python, C++, and modern web frameworks (React, Node.js).
  • Deep understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with MLOps tools and deployment pipelines.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Docker Kubernetes AWS AI Engineering System Design C++

Ready to Take This Challenge?

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

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