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Principal AI Architect (2026 Roadmap)

Quantum Leap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are pioneering the technological landscape of 2026. As our Principal AI Architect, you will define the architectural strategy for our next-generation generative AI platforms. You will not just build systems; you will shape the future of how humans interact with machines. Join us in a role that demands visionary thinking, deep technical expertise, and the ability to navigate the complexities of AI deployment at scale. This is an opportunity to lead from the front lines of innovation.

Responsibilities

  • Define and execute the technical roadmap for AI infrastructure, specifically targeting 2026 technological standards and capabilities.
  • Lead the design and implementation of scalable machine learning pipelines, focusing on optimization and fault tolerance.
  • Collaborate with cross-functional teams to integrate AI solutions into core business products, ensuring seamless user experiences.
  • Oversee the migration to next-gen cloud-native AI environments and evaluate emerging technologies like quantum computing interfaces.
  • Establish best practices for data governance, model security, and ethical AI usage within the organization.
  • Conduct code reviews and architectural audits to ensure system integrity and performance.
  • Mentor senior engineers and architects, fostering a culture of continuous learning and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
  • Proven experience leading large-scale AI initiatives and delivering production-ready solutions.
  • Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI technologies.
  • Exceptional leadership skills with a track record of managing high-performing engineering teams.
  • Excellent communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

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

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