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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect | 2026 Visionary Tech | San Francisco, CA

QuantumCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the future? QuantumCore Systems is seeking a visionary Lead AI Architect to spearhead our 2026 strategic roadmap. As we bridge the gap between generative AI and next-gen infrastructure, you will be responsible for designing scalable, robust, and secure AI ecosystems that define the next decade of technology.

In this high-impact role, you will work alongside top-tier researchers and engineers to build systems that are not just functional, but revolutionary. If you thrive in ambiguity and have a passion for pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.

Responsibilities

  • Design and implement the core architecture for our 2026 AI infrastructure, ensuring scalability and high availability.
  • Lead a team of senior engineers in deploying Large Language Models (LLMs) and computer vision systems in production environments.
  • Define technical standards, coding guidelines, and best practices for the AI engineering department.
  • Collaborate with product managers to translate complex business requirements into technical roadmaps.
  • Conduct code reviews and perform technical architecture reviews to ensure system integrity.
  • Stay ahead of industry trends, specifically focusing on Quantum Computing integration and Edge AI for 2026 readiness.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a Lead or Architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern Machine Learning frameworks.
  • Proven track record of designing scalable cloud-native architectures on AWS or GCP.
  • Experience with MLOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
  • Strong understanding of distributed systems, microservices, and high-performance computing.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker MLOps Machine Learning Deep Learning Distributed Systems System Architecture

Ready to Take This Challenge?

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