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Information Technology 🏒 Full Time ⭐️ Verified

Generative AI Architect | Future of Tech

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

Job Description

We are seeking a visionary Generative AI Architect to lead our R&D division in shaping the technological landscape of 2026 and beyond. In this pivotal role, you will design scalable, robust, and ethical Large Language Model (LLM) systems that power the next generation of enterprise solutions.

Your expertise will drive innovation in synthetic data generation, multimodal AI integration, and real-time inference optimization.

Why Join Us? We are an elite tech collective pushing the boundaries of artificial intelligence. You will have the autonomy to experiment, the resources to build, and the opportunity to define the future of work.

Responsibilities

  • Architect and implement scalable LLM infrastructure using PyTorch and TensorFlow.
  • Lead the development of proprietary Generative AI models and fine-tuning pipelines.
  • Ensure AI systems adhere to strict ethical guidelines and bias mitigation strategies.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly applications.
  • Optimize model latency and throughput for high-volume production environments.
  • Stay at the forefront of AI research, adapting cutting-edge techniques to our stack.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience in building production-grade machine learning systems.
  • Deep expertise in Natural Language Processing (NLP) and Generative Adversarial Networks (GANs).
  • Proficiency in programming languages such as Python, C++, or Rust.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of transformer architectures and attention mechanisms.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Docker Kubernetes MLOps LLM Transformer Models

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