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Lead AI Architect - Horizon 2026

Horizon 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to join our elite team at Horizon 2026. As we redefine the boundaries of artificial intelligence for the 2026 era, you will be responsible for designing the core infrastructure that powers our next-generation autonomous agents and predictive analytics platforms. If you are passionate about pushing the limits of what is possible in machine learning and distributed systems, this is your opportunity to shape the future of technology.

Responsibilities

  • Architect and design scalable, high-performance AI/ML infrastructure capable of handling petabyte-scale data.
  • Lead the technical strategy for implementing cutting-edge neural network architectures and large language models.
  • Collaborate with cross-functional teams to integrate AI solutions into our core product ecosystem.
  • Mentor senior engineers and foster a culture of innovation and technical excellence within the engineering department.
  • Optimize model training pipelines for speed and efficiency using distributed computing frameworks.
  • Ensure system reliability, security, and scalability across all cloud-native environments.
  • Stay ahead of industry trends and evaluate emerging technologies to drive competitive advantage.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • 10+ years of experience in software engineering with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven experience designing large-scale distributed systems and microservices architecture.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Experience with MLOps tools, data pipelines, and model versioning strategies.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

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

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