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Lead AI Architect (Agentic Systems)

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

Job Description

We are redefining the boundaries of human-machine interaction. Nexus Horizon is seeking a visionary Lead AI Architect to spearhead the development of our next-generation Agentic AI ecosystem. If you are passionate about building autonomous systems that learn, adapt, and reason, we want to meet you.

In this role, you will lead a world-class engineering team in deploying state-of-the-art Large Language Models (LLMs) into production environments. You will bridge the gap between theoretical AI research and scalable, real-world applications, ensuring our solutions are not just smart, but safe, efficient, and transformative.

Why Join Us?

  • Work on the cutting edge of AI technology.
  • Competitive compensation and equity package.
  • Flexible remote and hybrid work options.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Architect and deploy scalable LLM pipelines and Agentic workflows.
  • Lead the design of robust evaluation frameworks for AI safety and alignment.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product features.
  • Optimize model inference latency and cost-efficiency in cloud environments.
  • Establish best practices for MLOps, data governance, and model versioning.
  • Mentor junior engineers and data scientists to foster a culture of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning, NLP, or Deep Learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying production-ready AI models at scale.
  • Deep understanding of Transformer architectures and Reinforcement Learning.
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps RAG Transformer Models Cloud Infrastructure Docker Kubernetes

Ready to Take This Challenge?

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