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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon Labs is leading the charge in the 2026 Initiative, a massive undertaking to redefine the boundaries of Artificial Intelligence and human-machine collaboration. We are seeking a visionary Senior AI Systems Architect to design the core infrastructure that will power the next generation of intelligent applications.

In this pivotal role, you won't just write code; you will define the architectural patterns for scalability, security, and ethical AI. You will work alongside world-class researchers and engineers to build systems that are robust, efficient, and ready for the demands of 2026 and beyond.

If you are passionate about pushing the envelope of what's possible and want to leave a lasting legacy in the tech industry, we want to hear from you.

Responsibilities

  • Design and implement scalable AI infrastructure for the 2026 Initiative, ensuring high availability and low latency.
  • Lead architectural decision-making for complex machine learning pipelines and neural network frameworks.
  • Collaborate with cross-functional teams to translate business requirements into technical roadmaps.
  • Establish best practices for code quality, security, and performance optimization.
  • Mentor junior developers and senior engineers, fostering a culture of continuous learning and innovation.
  • Stay abreast of cutting-edge advancements in AI, ensuring our tech stack remains future-proof.

Qualifications

  • 10+ years of experience in software architecture, with a strong focus on Machine Learning and AI.
  • Proven experience leading high-impact engineering teams and managing large-scale projects.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • Strong understanding of distributed systems, microservices, and containerization technologies (Kubernetes/Docker).
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Cloud Architecture Machine Learning Kubernetes Leadership

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