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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

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

Job Description

We are pioneering the next generation of autonomous AI agents for 2026. Nexus Horizon Systems is seeking a visionary Lead AI Architect to design the infrastructure for tomorrow's intelligent ecosystems. You will be at the forefront of Generative AI, Neural Networks, and Edge Computing, ensuring our solutions are scalable, ethical, and future-proof.

In this high-impact role, you will bridge the gap between theoretical machine learning research and production-grade deployment. Join us to build the backbone of the AI revolution.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) infrastructures optimized for 2026 workloads.
  • Lead the research and implementation of Agentic AI workflows and multi-agent systems.
  • Ensure data privacy, security, and AI ethics compliance across all models.
  • Collaborate with cross-functional teams to integrate advanced Computer Vision and Natural Language Processing (NLP) capabilities.
  • Mentor junior engineers and establish best practices for MLOps and model training pipelines.
  • Prototype cutting-edge algorithms using quantum-ready computing paradigms.

Qualifications

  • PhD or Master's degree in Computer Science, AI, or a related quantitative field.
  • 7+ years of experience in Machine Learning Engineering, Deep Learning, or AI Research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying production-level AI models handling petabyte-scale data.
  • Strong understanding of Transformer architectures and fine-tuning LLMs.
  • Familiarity with Kubernetes, Docker, and cloud-native architecture (AWS/GCP/Azure).
  • Experience with AI governance and responsible AI frameworks.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Kubernetes AWS AI Ethics Generative AI Transformer Models Edge Computing

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