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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Horizon Initiative

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are at the forefront of innovation, building the infrastructure for the year 2026 and beyond. Nexus Dynamics is launching the 2026 Horizon Initiative, a massive undertaking to integrate autonomous AI agents into global supply chains. We are seeking a visionary Senior AI Architect to lead our technical strategy and define the neural architectures that will power the future of logistics.

In this role, you won't just be maintaining systems; you will be pioneering the future. You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with world-class researchers and engineers to solve the most complex problems in predictive modeling and ethical AI deployment.

If you are passionate about the intersection of artificial intelligence, ethical computing, and futuristic scalability, we want to hear from you.

Responsibilities

  • Architect and deploy scalable deep learning models designed for the 2026 operational landscape.
  • Lead the technical vision for our autonomous agent integration strategy.
  • Optimize neural network latency and throughput for real-time decision-making systems.
  • Establish best practices for data governance, AI ethics, and bias mitigation.
  • Collaborate with product managers to translate futuristic roadmaps into actionable technical specifications.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in designing and implementing production-grade machine learning systems.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Large Language Models (LLMs), transformers, and generative AI architectures.
  • Strong background in cloud infrastructure (AWS, GCP, or Azure) and Kubernetes.
  • Experience with quantum computing concepts or hybrid classical-quantum algorithms is a plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes AI Ethics LLMs

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