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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect (2026 Tech Focus)

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are defining the technology stack of tomorrow. Nexus Future Systems is seeking a visionary Senior Generative AI Architect to spearhead the development of next-generation artificial intelligence solutions. In this role, you will not just use existing tools; you will help define the protocols and architectures that will power the 2026 era of autonomous systems.

Our mission is to bridge the gap between advanced Large Language Models (LLMs) and real-world application. You will work in a high-performance environment that prioritizes innovation, scalability, and ethical AI development. If you are a technical expert ready to tackle the challenges of the future, we want to hear from you.

What You Will Do:

Responsibilities

  • Architect and deploy scalable generative AI models, including LLMs and diffusion models.
  • Design robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy.
  • Optimize model inference for edge devices and cloud environments.
  • Lead code reviews and mentor a team of passionate machine learning engineers.
  • Collaborate with product and engineering teams to translate technical requirements into production-ready code.
  • Stay ahead of the curve on emerging AI trends and implement cutting-edge methodologies.

Qualifications

  • 5+ years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Transformers, and prompt engineering.
  • Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
  • Strong background in software engineering principles and system design.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS GCP

Ready to Take This Challenge?

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