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Lead AI Architect - 2026 Strategic Vision

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our 2026 technological roadmap. As the industry accelerates toward the future, your role will be pivotal in architecting scalable, ethical, and high-performance artificial intelligence systems that define the next decade of human-computer interaction. You will bridge the gap between theoretical AI advancements and practical, real-world deployment.

In this role, you will lead a high-performing team of engineers and data scientists, ensuring our solutions are not only cutting-edge but also accessible and secure. Join us in shaping the digital infrastructure of tomorrow.

Responsibilities

  • Architect and oversee the deployment of next-generation AI models, focusing on Generative AI and Large Language Models (LLMs) for 2026 readiness.
  • Define the technical strategy for transitioning from cloud-centric AI to edge-computing solutions to ensure low-latency processing.
  • Lead the development of proprietary algorithms that enhance predictive analytics and autonomous decision-making systems.
  • Establish robust MLOps pipelines to ensure model scalability, monitoring, and continuous integration.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems seamlessly.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership or architect role.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong understanding of hardware acceleration (TPU, GPU, FPGA) and model quantization techniques.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Generative AI Large Language Models AWS Azure GCP Kubernetes Edge Computing Data Science

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