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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect

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

Job Description

Join Nexus Horizon, the pioneer of next-generation artificial intelligence, as our Senior AI Systems Architect. We are architecting the infrastructure for 2026 and beyond. In this pivotal role, you will lead the design and deployment of autonomous AI agents and large-scale neural networks. We are seeking a visionary engineer who thrives on solving complex problems and shaping the future of human-computer interaction.

At Nexus Horizon, you will work in a high-performance environment where your code directly impacts millions of users. We offer competitive compensation, significant equity, and the opportunity to work on cutting-edge technology that defines the era of intelligent systems.

Responsibilities

  • Design and implement scalable machine learning pipelines for generative AI and autonomous agents.
  • Optimize model inference performance for edge and cloud deployment environments to ensure real-time responsiveness.
  • Lead architectural decisions for large-scale data processing, storage, and retrieval systems.
  • Collaborate with cross-functional product teams to integrate advanced AI capabilities into consumer products seamlessly.
  • Ensure ethical AI practices and rigorous bias mitigation in model training and validation.
  • Stay ahead of the curve by researching emerging technologies, methodologies, and frameworks.

Qualifications

  • Master’s or PhD in Computer Science, AI, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering and software development.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of Large Language Model (LLM) architectures, fine-tuning techniques, and RAG pipelines.
  • Experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models that handle high concurrency.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing NLP AWS GCP Docker Kubernetes

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