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AI Lead Architect 2026

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary AI Lead Architect 2026 to spearhead the next generation of predictive intelligence systems. In a rapidly evolving technological landscape, your role will be pivotal in defining the architectural blueprints for our AI-driven future. You will bridge the gap between theoretical AI potential and tangible, scalable solutions that will define our market position through 2026 and beyond. This is a rare opportunity for a top-tier engineer to lead a high-impact team in a high-growth environment.

Responsibilities

  • Design and implement scalable AI and machine learning infrastructure to support our 2026 product roadmap.
  • Lead a cross-functional team of data scientists and engineers to deliver robust, production-ready models.
  • Define architectural standards for AI systems, ensuring security, scalability, and performance.
  • Conduct deep technical research to evaluate emerging technologies and integrate them into our core systems.
  • Mentor junior developers and conduct code reviews to maintain high engineering excellence.
  • Collaborate with product stakeholders to translate business requirements into technical AI strategies.
  • Optimize existing models for latency, cost, and accuracy to enhance user experience.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior or lead AI/ML architecture role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong leadership skills with the ability to drive technical vision and mentor teams.
  • Experience with MLOps, cloud platforms (AWS/Azure/GCP), and data pipeline architecture.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch MLOps Cloud Computing Leadership Data Engineering

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