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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Focus)

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of the intelligent systems defining the technological landscape of 2026. As we prepare for the next era of Generative AI and Multimodal Learning, you will be at the forefront of innovation, designing scalable infrastructure that powers the future of enterprise.

At Quantum Leap Innovations, we don't just predict trends; we set them. You will work in a high-performance environment where your expertise in Large Language Models (LLMs) and Neural Networks will directly impact millions of users. If you are passionate about building the AI infrastructure of tomorrow, today, this is your opportunity.

Responsibilities

  • Architect and deploy next-generation Generative AI models optimized for the 2026 compute stack.
  • Design MLOps pipelines to ensure high availability, scalability, and real-time inference for enterprise applications.
  • Lead the research and implementation of cutting-edge techniques in NLP, Computer Vision, and Reinforcement Learning.
  • Collaborate with product and engineering teams to translate complex AI concepts into robust, user-friendly solutions.
  • Establish best practices for AI ethics, safety, and bias mitigation in all deployed models.
  • Mentor a team of junior data scientists and ML engineers to foster a culture of technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of experience in AI/ML engineering, with a strong focus on Deep Learning and NLP.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps frameworks (Kubeflow, MLflow).
  • Proven track record of deploying large-scale models in production environments (AWS, GCP, or Azure).
  • Deep understanding of Transformer architectures and LLM fine-tuning methodologies.
  • Strong analytical skills with the ability to troubleshoot complex system bottlenecks and performance issues.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps AWS GCP Deep Learning Generative AI Machine Learning Neural Networks

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