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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect for 2026

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

Job Description

Join the Architects of the Future.

Nexus Horizon Systems is seeking a visionary Senior AI Architect for 2026 to define the next generation of intelligent infrastructure. As we prepare to launch our flagship platform in late 2025, we need a leader who can anticipate the technological shifts of the coming years. This is not just a job; it is an opportunity to build the foundational models that will drive enterprise decision-making for the decade ahead.

We offer a competitive compensation package, equity opportunities, and a remote-first culture focused on innovation and impact.

Responsibilities

  • Architect and deploy scalable Large Language Models (LLMs) designed for 2026 enterprise standards.
  • Lead the research and implementation of AI 2026 trends, including autonomous agents and multimodal learning systems.
  • Optimize model inference latency and accuracy across distributed cloud environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product pipelines.
  • Mentor junior engineers and establish best practices for ethical AI and responsible deployment.
  • Define the technical roadmap for our AI infrastructure through Q4 2026 and beyond.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and high-availability systems.
  • Experience with Generative AI, LLM fine-tuning, and RAG (Retrieval-Augmented Generation).
  • PhD or Master’s degree in Computer Science, AI, or a related technical field is preferred.
  • Demonstrated ability to lead technical projects from conception to production.

Required Skills

Python PyTorch TensorFlow MLOps AWS Kubernetes Large Language Models Generative AI Deep Learning Machine Learning Cloud Architecture

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