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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Vision 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a technological revolution. Nexus Horizon Labs is seeking a visionary Lead AI Architect to design the infrastructure for the year 2026 and beyond. In this role, you won't just be maintaining existing systems; you will be architecting the future of human-machine interaction, quantum-ready cloud environments, and autonomous decision-making frameworks.

Join a team of elite engineers and futurists dedicated to solving humanity's grand challenges through scalable, ethical, and revolutionary technology.

Responsibilities

  • Architect and deploy scalable AI infrastructure designed for the demands of 2026 and future eras.
  • Lead the research and implementation of next-generation machine learning models and neural architectures.
  • Define the technical roadmap for integrating quantum computing concepts into classical software stacks.
  • Ensure system resilience, security, and ethical compliance across all deployed AI agents.
  • Mentor a high-performing team of software engineers and data scientists.
  • Collaborate with product leadership to translate futuristic concepts into viable, working software.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML leadership roles.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native architectures (Kubernetes, AWS/GCP).
  • Proven track record of delivering complex, large-scale systems under tight deadlines.
  • Strong understanding of ethical AI principles, bias mitigation, and data privacy regulations.
  • Experience with quantum computing frameworks or a strong aptitude for rapid learning in emerging tech.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning Cloud Architecture AI Ethics Quantum Computing

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