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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Future

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

Job Description

We are seeking a visionary Lead AI Architect to spearhead our engineering team in defining the technological landscape of 2026.

In this role, you won't just maintain the status quo; you will build the infrastructure for the next era of artificial intelligence. You will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are resilient, ethical, and cutting-edge.

Join us in defining the trajectory of technology and become a pioneer in the 2026 technological paradigm shift.

Responsibilities

  • Architect and implement scalable AI models for the 2026 roadmap and beyond.
  • Lead a high-performance engineering team in designing next-generation neural networks and machine learning systems.
  • Define technical strategies to integrate emerging technologies (Quantum AI, Edge Computing) into our core infrastructure.
  • Mentor junior developers and architects, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional stakeholders to translate business goals into technical roadmaps.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy standards.
  • Optimize existing models for improved latency, throughput, and accuracy.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of deploying production-grade AI systems at scale.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of AI ethics, bias mitigation, and responsible AI practices.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Neural Networks TensorFlow PyTorch Cloud Architecture Kubernetes AI Ethics Distributed Systems Agile Methodologies

Ready to Take This Challenge?

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