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Senior AI Architect (2026 Vision)

Zenith Digital
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you a visionary engineer ready to define the technological landscape of tomorrow? Zenith Digital is seeking a visionary Senior AI Architect to spearhead our 2026 strategic roadmap. In this pivotal role, you will not just build software; you will architect the neural infrastructure that powers our next generation of autonomous agents and generative solutions. Join us in shaping the future of AI and secure your place in the industry leader of 2026.

Responsibilities

  • Architect 2026-Ready Systems: Design and implement scalable, next-gen AI architectures capable of handling massive data throughput and complex neural network computations.
  • Lead Strategic Roadmap: Define the technical vision for the 2026 transition, identifying emerging trends like quantum-assisted ML and advanced edge computing.
  • Model Optimization: Drive performance optimization strategies to ensure AI models achieve sub-millisecond latency and superior accuracy.
  • Ethical AI Governance: Establish and enforce robust ethical frameworks and safety protocols for generative AI deployment.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists on advanced ML techniques.
  • Collaboration: Partner with product leaders to translate complex 2026 strategic goals into tangible, executable technical roadmaps.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in designing and deploying large-scale machine learning systems.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubernetes, Docker, MLflow).
  • Cloud Mastery: Proven track record of architecting solutions on major cloud providers (AWS, GCP, or Azure).
  • Innovation: Demonstrated ability to research and prototype cutting-edge technologies applicable to the 2026 landscape.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Kubernetes Docker Cloud Architecture Generative AI Neural Networks AWS GCP

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