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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect | 2026 Vision

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026 and beyond? Quantum Leap Technologies is seeking a visionary Senior Generative AI Architect to lead our next-generation model deployment initiatives. In this pivotal role, you won't just build models; you will architect the infrastructure that powers the future of human-machine interaction.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn futuristic concepts into scalable, production-ready reality. If you are passionate about the trajectory of AI through 2026, this is your opportunity to lead from the front.

Responsibilities

  • Design and deploy scalable Large Language Model (LLM) architectures tailored for 2026 market demands.
  • Lead the end-to-end lifecycle of AI initiatives, from Proof of Concept to full-scale production rollout.
  • Implement robust data governance frameworks ensuring ethical AI standards and compliance.
  • Collaborate with cross-functional squads to integrate AI capabilities into core product ecosystems.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Optimize model inference latency and cost-efficiency for global deployment.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering, with a specific focus on Machine Learning or Deep Learning.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying high-availability systems in cloud environments (AWS/GCP).
  • Strong understanding of LLM fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering.
  • Experience with MLOps tools and CI/CD pipelines.

Required Skills

Python PyTorch TensorFlow AWS GCP LLMs Generative AI Deep Learning MLOps NLP RAG 2026

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