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Senior AI Architect: 2026 Horizon Initiative

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our 2026 Horizon Initiative. As the technology landscape evolves at an unprecedented pace, we are building a dedicated team to architect the artificial intelligence systems that will define the future of enterprise scalability.

In this role, you will not just write code; you will shape the strategic direction of our AI infrastructure for the 2026 roadmap and beyond. You will bridge the gap between theoretical machine learning models and production-grade systems, ensuring our solutions are robust, ethical, and scalable.

Why join us? We offer a competitive package, remote-first flexibility, and the opportunity to work on cutting-edge projects that are set to disrupt the industry.

Responsibilities

  • Define and execute the technical architecture for the 2026 AI roadmap, focusing on Generative AI and Large Language Models.
  • Design scalable, fault-tolerant systems that handle millions of daily transactions.
  • Lead the integration of AI-driven automation into legacy infrastructure.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.
  • Collaborate with product managers to translate business requirements into technical AI solutions.
  • Ensure all AI systems comply with global ethical guidelines and data privacy regulations.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud architectures (AWS/GCP).
  • Proven track record of deploying end-to-end machine learning pipelines in production environments.
  • Strong understanding of neural networks, natural language processing (NLP), and computer vision.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Experience with MLOps and model deployment strategies.

Required Skills

Python TensorFlow AWS MLOps Machine Learning Neural Networks System Architecture

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