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Lead AI Architect (2026 Roadmap)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of Artificial Intelligence?

Apex Horizon Systems is seeking a visionary Lead AI Architect to drive our 2026 roadmap. In this high-impact role, you will be responsible for architecting the next generation of generative AI and autonomous systems that will shape the industry for years to come.

We are not just looking for a coder; we are looking for a pioneer. You will lead a world-class team in designing scalable, secure, and ethical AI infrastructures that push the boundaries of what is possible.

Why This Role?

  • Futuristic Vision: Directly influence the strategic direction of AI for the 2026 era and beyond.
  • Impactful Work: Build core technologies used by millions worldwide.
  • Competitive Package: Top-tier compensation and equity opportunities.

Responsibilities

  • Design and implement the architectural blueprint for our 2026 AI product line, focusing on Large Language Models (LLMs) and neural networks.
  • Lead the technical strategy for scaling AI infrastructure to handle petabyte-scale data.
  • Mentor senior engineers and foster a culture of innovation, code excellence, and continuous learning.
  • Conduct research on cutting-edge AI paradigms to ensure Apex Horizon remains ahead of the curve.
  • Collaborate with cross-functional product teams to translate futuristic concepts into deployable software.
  • Oversee MLOps pipelines, ensuring model reliability, versioning, and automated deployment.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
  • Strong background in Generative AI, Transformers, and Computer Vision.
  • Experience implementing AI governance, safety, and ethical frameworks.
  • Master’s degree in Computer Science, AI, or a related technical field is highly preferred.

Required Skills

Python Machine Learning Deep Learning Artificial Intelligence TensorFlow PyTorch Cloud Architecture System Design MLOps Generative AI

Ready to Take This Challenge?

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