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Information Technology 🏒 Full Time ⭐️ Verified

Lead Generative AI Architect - 2026 Roadmap

FutureScale Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are at the forefront of the 2026 AI revolution. We are looking for a visionary Lead Generative AI Architect to define the technical roadmap for our next-generation LLM platforms. You will be responsible for designing scalable, secure, and high-performance AI systems that power our enterprise clients.

In this role, you will bridge the gap between cutting-edge research and production-grade deployment, ensuring our solutions are ready for the evolving demands of the future.

Responsibilities

  • Architect and implement large-scale Generative AI systems with a focus on 2026 scalability and efficiency.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and minimize hallucinations.
  • Lead the design of multi-modal AI agents capable of complex reasoning and autonomous task execution.
  • Collaborate with data science and engineering teams to fine-tune foundation models on proprietary data.
  • Establish best practices for MLOps, model monitoring, and security in the AI lifecycle.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience building and deploying LLM applications at scale.
  • Deep expertise in Python, PyTorch, TensorFlow, and LangChain.
  • Strong understanding of transformer architectures, vector databases, and distributed systems.
  • Proven track record of leading technical teams in a fast-paced startup environment.

Required Skills

Generative AI LLM Machine Learning Python PyTorch RAG MLOps AI Architect 2026 Roadmap Deep Learning

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