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Lead AI Architect (2026 Vision)

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

Job Description

Apex Horizon Systems is pioneering the future of intelligent infrastructure. We are seeking a visionary Lead AI Architect to design and deploy scalable, next-generation artificial intelligence systems. In this role, you will bridge the gap between theoretical machine learning and robust production-grade engineering, ensuring our platforms remain at the cutting edge of technology.

You will lead a team of elite engineers in architecting solutions that are not only high-performance but also ethically responsible and future-proof for the decade ahead.

Responsibilities

  • Architect and implement end-to-end AI/ML infrastructure capable of handling petabyte-scale data processing.
  • Define technical roadmaps for AI initiatives, ensuring alignment with the company’s 2026 strategic vision.
  • Lead the design of scalable microservices and cloud-native solutions using AWS and Kubernetes.
  • Mentor senior engineers and junior developers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams including product managers, data scientists, and security experts.
  • Ensure system reliability, observability, and compliance with global data privacy standards.
  • Stay abreast of emerging AI paradigms, including generative models and quantum computing applications.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture leadership.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern C++.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization.
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Strong experience with MLOps pipelines and model monitoring tools.
  • Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

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

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