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Lead AI Architect (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect (2026 Vision) to define the technological roadmap for our next-generation enterprise solutions. As we prepare for the technological paradigm shift of 2026, you will be responsible for architecting scalable, secure, and ethically aligned AI systems that drive our global business strategy.

In this role, you will bridge the gap between theoretical AI research and practical, high-impact engineering. You will lead a team of elite engineers, establish best practices for Generative AI deployment, and ensure our infrastructure is future-proofed for the evolving landscape of 2026.

Why Join Us?

  • Shape the future of AI with cutting-edge technology.
  • Work in a premium tech environment with competitive equity.
  • Focus on projects that have a global impact.

Responsibilities

  • Architect and oversee the deployment of large-scale AI models and machine learning pipelines tailored for the 2026 market.
  • Define the technical strategy and roadmap for AI infrastructure, ensuring alignment with business goals.
  • Lead a cross-functional team of data scientists and engineers to deliver innovative AI solutions.
  • Implement robust governance frameworks for AI ethics, transparency, and compliance.
  • Optimize model performance, latency, and cost-efficiency at scale.
  • Stay ahead of industry trends to recommend innovative tools and technologies.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern LLM architectures.
  • Proven track record of leading high-performing engineering teams in a fast-paced environment.
  • Strong understanding of MLOps, CI/CD, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with ethical AI principles and regulatory compliance (GDPR/CCPA).
  • Master's degree in Computer Science, Machine Learning, or a related field preferred.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Computing AWS GCP Leadership System Architecture

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