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Senior Generative AI Architect (2026 Roadmap)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior Generative AI Architect to lead our mission for the 2026 AI paradigm shift. At Nexus Horizon Technologies, we are building the infrastructure for the next generation of autonomous agents and multimodal reasoning systems. You will bridge the gap between theoretical research and production-grade engineering, delivering AI solutions that redefine human-machine interaction.

Why Join Nexus Horizon?
Work on projects with global impact. We offer competitive equity packages, flexible remote-first policies, and a culture of innovation that prioritizes technical excellence.

Responsibilities

  • Architect and deploy scalable LLM inference pipelines optimized for high-throughput production environments.
  • Design novel prompt engineering frameworks and fine-tuning strategies for next-generation model architectures.
  • Collaborate with product and research teams to integrate Generative AI into consumer and enterprise applications.
  • Implement rigorous model safety protocols, including bias mitigation and ethical AI compliance.
  • Optimize training throughput and memory efficiency using distributed computing techniques and quantization.
  • Build and maintain evaluation frameworks to measure model performance against industry benchmarks.

Qualifications

  • 5+ years of professional experience in Machine Learning, NLP, or Generative AI.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Transformer architectures and state-of-the-art LLMs (e.g., GPT, Llama, Claude).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Experience with Reinforcement Learning from Human Feedback (RLHF) and Alignment techniques.
  • BS, MS, or PhD in Computer Science, Mathematics, or a related quantitative field.

Required Skills

Python PyTorch TensorFlow LLMs NLP MLOps Docker Kubernetes Machine Learning Reinforcement Learning Transformers AI Engineering

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