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Senior AI Architect - 2026 Vision

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

Job Description

Architecting the Future of AI

Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence infrastructure. In this role, you won't just build models; you will shape the ethical and scalable future of AI technology.

We are a forward-thinking organization looking to bridge the gap between current AI capabilities and the sophisticated requirements of the coming years. If you have a passion for large-scale machine learning and want to work on projects that will define the industry standard, we want to hear from you.

Responsibilities

  • Design and architect scalable AI infrastructure capable of handling the demands of the 2026 data landscape.
  • Lead the research and implementation of Generative AI and Large Language Model (LLM) fine-tuning strategies.
  • Collaborate with cross-functional teams to integrate AI solutions into core business products seamlessly.
  • Establish best practices for AI ethics, bias mitigation, and transparency in model outputs.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Optimize model inference latency and cost efficiency in cloud environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in machine learning engineering, with at least 3 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
  • Proven track record of deploying production-grade AI models at scale.
  • Experience with MLOps tools (Kubernetes, Docker, MLflow) and cloud platforms (AWS, GCP).
  • Strong understanding of neural network architectures and reinforcement learning.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Kubernetes AWS GCP Generative AI LLMs

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