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Lead AI Engineer: Architecting the 2026 Future | San Francisco, CA

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the future. As a leader in the '2026 Vision' initiative, Apex Horizon Technologies is seeking a visionary Lead AI Engineer to define the roadmap for next-generation artificial intelligence systems. If you thrive in high-impact environments and are passionate about solving complex problems at scale, we want to meet you.

In this pivotal role, you will lead a cross-functional team in architecting scalable, robust AI solutions designed to meet the demands of the 2026 technological landscape. You will bridge the gap between theoretical research and production-grade software, ensuring our platforms remain at the cutting edge.

Responsibilities

  • Architect and lead the development of enterprise-grade AI models focused on the 2026 strategic roadmap.
  • Oversee the full machine learning lifecycle, from data ingestion and model training to deployment and monitoring.
  • Collaborate with product managers and data scientists to translate complex business requirements into technical specifications.
  • Ensure system scalability, reliability, and security across distributed cloud environments.
  • Mentor and cultivate a high-performance engineering culture, conducting code reviews and technical workshops.
  • Identify emerging trends in AI and machine learning to drive innovation within the organization.

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 Machine Learning and AI architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, or similar ML frameworks.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of leading engineering teams through complex technical challenges.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Deep Learning NLP Computer Vision Cloud Architecture System Design

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