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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technology landscape for 2026 and beyond. As a pivotal member of our engineering leadership team, you will architect scalable artificial intelligence systems that drive our next generation of products. You will bridge the gap between cutting-edge AI research and production-grade engineering, ensuring our solutions remain at the forefront of innovation.

In this role, you will be responsible for the end-to-end technical strategy, guiding our team in implementing advanced machine learning models, Large Language Models (LLMs), and autonomous agents. You will work in a high-velocity environment where your decisions directly impact the future of our platform.

Responsibilities

  • Design and implement robust AI architectures that scale to meet the demands of 2026.
  • Lead the technical roadmap for integrating Generative AI and Agentic workflows into our core products.
  • Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with product leaders to translate business objectives into technical specifications.
  • Ensure data integrity, model performance, and ethical AI compliance across all projects.
  • Optimize cloud infrastructure (AWS/GCP) for high-performance AI inference.
  • Stay ahead of industry trends to ensure Quantum Horizon remains a market leader.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software architecture, with at least 3 years specifically in AI/ML engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern machine learning frameworks.
  • Proven experience designing and deploying Large Language Models (LLMs) at scale.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud-native architecture.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience with Kubernetes, Docker, and distributed systems.

Required Skills

AI Machine Learning Python PyTorch TensorFlow LLM MLOps Cloud Architecture Kubernetes Distributed Systems

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