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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Systems Architect (2026 Roadmap)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

The Future is Now. Nexus Horizon is building the infrastructure for the next decade. We are seeking a visionary AI Systems Architect to define the roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI capabilities and production-grade, scalable infrastructure. You will architect systems that are not only robust today but are future-proofed for the quantum and agentic AI revolutions.

If you thrive on solving complex scalability challenges and have a passion for shaping the technological landscape of the future, we want to meet you.

Responsibilities

  • Architect Next-Gen Infrastructures: Design and implement scalable, fault-tolerant systems specifically architected for 2026 standards, including edge computing and quantum-ready frameworks.
  • Lead AI Integration: Oversee the seamless integration of Agentic AI workflows into legacy and greenfield systems, ensuring high performance and low latency.
  • Strategic Roadmapping: Define the technical trajectory for 2026, identifying emerging technologies (e.g., Neuromorphic computing) and preparing our stack for adoption.
  • System Security & Compliance: Implement cutting-edge cybersecurity protocols and ensure full compliance with evolving global data regulations.
  • Technical Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting architecture reviews across the organization.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML infrastructure.
  • Core Technologies: Deep expertise in Python, Rust, or Go; extensive experience with Kubernetes, Docker, and microservices architecture.
  • AI Proficiency: Proven track record of building systems with Large Language Models (LLMs), Vector Databases, and RAG architectures.
  • Cloud Mastery: Advanced certification and practical experience with AWS, GCP, or Azure, specifically in high-availability environments.
  • Future-Forward Mindset: Demonstrated ability to research and prototype emerging technologies ahead of the mainstream curve.

Required Skills

Python Rust Go Kubernetes Docker AWS GCP AI/ML Machine Learning System Architecture Cloud Computing Edge Computing Quantum Computing Agentic AI

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