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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Roadmap) - AI & Robotics

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

Job Description

We are seeking a visionary Future Systems Architect to define the technological landscape for 2026 and beyond. At Nexus Horizons, we are not just building software; we are engineering the future of human-machine interaction. You will be responsible for architecting the infrastructure that powers our next-generation AI and autonomous robotics solutions.

In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, ensuring our roadmap for 2026 is technically sound, innovative, and robust.

Responsibilities

  • Architect and design scalable, next-generation AI infrastructure capable of supporting enterprise-level demands.
  • Lead Research & Development (R&D) for autonomous agents and predictive algorithms targeting deployment in 2026.
  • Collaborate with product and engineering teams to define technical roadmaps and architectural standards.
  • Ensure system resilience, security, and ethical compliance in all AI implementations.
  • Optimize real-time data processing pipelines for low-latency performance.
  • Mentor junior engineers and foster a culture of continuous innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field.
  • 5+ years of experience in software architecture, specifically within AI, Machine Learning, or Cloud Computing.
  • Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Strong experience with data governance and ethical AI frameworks.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture AWS Kubernetes TensorFlow Data Engineering

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