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Senior AI Architect - Vision 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our R&D initiatives for the year 2026 and beyond.

In this pivotal role, you will define the technical roadmap for next-generation generative models and scalable AI infrastructure. You will work at the intersection of deep learning, large language models, and cloud-native architecture, ensuring our solutions remain at the cutting edge of technology.

We are looking for a problem solver who thrives in a fast-paced environment and is passionate about pushing the boundaries of what AI can achieve.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for real-time inference and high-volume data processing.
  • Lead the research and development of cutting-edge AI models targeting the 2026 market landscape and emerging technologies.
  • Collaborate with cross-functional product teams to translate business requirements into robust technical solutions.
  • Optimize model performance, latency, and throughput using advanced optimization techniques.
  • Establish best practices for MLOps, data governance, and model deployment lifecycle management.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (or equivalent extensive industry experience).
  • 5+ years of professional experience designing, implementing, and deploying complex AI/ML systems.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Large Language Models (LLMs), Transformers, and prompt engineering strategies.
  • Proven track record of leading engineering teams and mentoring junior developers in a fast-paced agile environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.

Required Skills

Python PyTorch TensorFlow Deep Learning LLMs AI Architecture MLOps Cloud Computing Kubernetes AWS System Design

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