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Strategic AI Architect | 2026 Systems Lead

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

Job Description

Are you ready to architect the future of technology? Nexus Horizon Systems is seeking a visionary Strategic AI Architect to define the core infrastructure for our 2026 roadmap. In this high-impact role, you will lead the development of cutting-edge predictive models and quantum-ready systems.

We are not just building software; we are engineering the timeline for the next decade. If you have a passion for solving complex problems and a deep understanding of artificial intelligence and system scalability, we want to hear from you.

Responsibilities

  • Define the 2026 Technical Vision: Lead the strategic architectural roadmap, ensuring our solutions are future-proof and scalable for the year 2026 and beyond.
  • Design Advanced AI Systems: Architect and deploy complex neural networks and machine learning models to drive predictive analytics and automation.
  • Optimize System Performance: Enhance latency and throughput for high-volume data processing and real-time AI inference across distributed systems.
  • Lead Technical Innovation: Spearhead R&D initiatives into emerging technologies such as Quantum Computing, Edge AI, and Generative Models.
  • Collaborate with Cross-Functional Teams: Partner with product managers, engineers, and data scientists to translate business requirements into technical specifications.
  • Ensure Security & Compliance: Implement robust security protocols to protect sensitive data and ensure adherence to industry standards.

Qualifications

  • Education: Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in AI/ML engineering leadership roles.
  • Technical Skills: Proficiency in Python, TensorFlow/PyTorch, and cloud-native architectures (AWS, GCP, or Azure).
  • Future-Ready Mindset: Demonstrated ability to adapt to rapidly evolving tech stacks and integrate novel paradigms into production environments.
  • Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Artificial Intelligence Cloud Computing Quantum Computing Leadership DevOps Predictive Modeling

Ready to Take This Challenge?

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