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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Generative AI Specialist)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge Generative AI initiatives. As we look toward the transformative potential of 2026, you will be at the forefront of deploying scalable, safe, and efficient AI solutions that redefine human-computer interaction.

We are looking for a technical leader who not only understands the current state of Large Language Models (LLMs) but also anticipates the next leap in artificial general intelligence. You will work in a dynamic environment that rewards innovation, technical excellence, and the ability to solve complex problems.

Responsibilities

  • Design, develop, and deploy advanced Generative AI models and Large Language Models tailored for enterprise applications.
  • Optimize AI inference pipelines to ensure high performance, low latency, and cost-efficiency at scale.
  • Lead the research and implementation of Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and context awareness.
  • Mentor a team of talented data scientists and machine learning engineers, fostering a culture of continuous learning and technical growth.
  • Collaborate with product and engineering teams to integrate AI capabilities into core business products seamlessly.
  • Ensure AI systems adhere to ethical guidelines, safety protocols, and regulatory compliance standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in software engineering, with at least 3-5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Transformer architectures, and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes/Docker).
  • Strong background in distributed systems and high-availability backend engineering.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models NLP Machine Learning Distributed Systems Kubernetes AWS GCP Generative AI RAG Deep Learning System Architecture

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