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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect (Vision 2026)

Quantum Horizon
San Francisco
Estimated Salary
USD 170.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence?

Quantum Horizon is seeking a visionary Lead AI Architect to spearhead our 'Vision 2026' initiative. We are not just building software; we are architecting the infrastructure that will power the next decade of autonomous systems and generative AI.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will lead a world-class team of engineers and data scientists to deliver groundbreaking solutions that redefine industry standards. If you thrive in a high-velocity, innovative environment and possess an obsession with performance and scalability, we want to meet you.

Responsibilities

  • Architect and design the core infrastructure for the 'Vision 2026' AI ecosystem, ensuring high availability and low latency.
  • Lead a cross-functional team of machine learning engineers and data scientists to translate complex research into deployable models.
  • Define technical roadmaps and best practices for AI model deployment, monitoring, and governance.
  • Collaborate with product leadership to identify high-impact opportunities for AI integration.
  • Mentor junior engineers, fostering a culture of continuous learning and technical excellence.
  • Ensure compliance with data privacy regulations and ethical AI standards.

Qualifications

  • Master’s or PhD 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.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
  • Proven track record of scaling machine learning models to production environments handling millions of requests per day.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Kubernetes Cloud Architecture Distributed Systems Leadership

Ready to Take This Challenge?

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