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Lead AI Architect (2026 Horizon)

QuantumLeap Industries
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are at the dawn of a new era in technology, and QuantumLeap Industries is leading the charge. We are seeking a visionary Lead AI Architect (2026 Horizon) to define the architectural blueprint for the artificial intelligence systems that will shape the future.

In this high-impact role, you won't just be maintaining legacy systems; you will be building the foundational infrastructure for our next-generation AI models. We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to translate complex research into scalable, real-world applications.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of Machine Learning, Deep Learning, and Generative AI.

Responsibilities

  • Architect and design scalable AI systems and machine learning pipelines for the 2026 product roadmap.
  • Lead research initiatives into emerging AI paradigms, including Large Language Models (LLMs) and autonomous agents.
  • Collaborate with product managers and engineering teams to integrate AI solutions seamlessly into our platform.
  • Optimize model performance, latency, and resource efficiency for production environments.
  • Establish technical standards, coding guidelines, and best practices for the AI engineering team.
  • Mentor junior developers and researchers, fostering a culture of innovation and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated experience leading large-scale ML projects from conception to deployment.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Cloud Computing Docker Kubernetes AWS Distributed Systems LLMs

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