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Senior AI Architect (Project 2026)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead Project 2026, our flagship initiative to revolutionize autonomous systems and predictive analytics. You will be at the forefront of designing scalable, robust, and ethical AI infrastructures that will define the next decade of technology. If you are passionate about pushing the boundaries of what's possible and want to build systems that matter, we want to hear from you.

As a key leader in our engineering division, you will bridge the gap between theoretical research and practical implementation, ensuring our AI solutions are not only cutting-edge but also accessible and efficient.

Responsibilities

  • Architect and implement scalable Machine Learning pipelines and distributed computing systems for Project 2026.
  • Lead the technical strategy for deploying large-scale neural networks into high-traffic production environments.
  • Collaborate closely with product managers and data scientists to define requirements and translate business objectives into technical solutions.
  • Optimize model performance, reduce latency, and maximize resource utilization across heterogeneous hardware.
  • Mentor junior engineers and foster a culture of innovation, technical excellence, and continuous learning.
  • Establish best practices for code quality, security, and ethical AI usage.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of experience in AI/ML engineering, software architecture, or a related technical role.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong background in distributed systems and cloud computing platforms (AWS, GCP, or Azure).
  • Deep experience with MLOps, data pipelines, and model versioning tools (MLflow, Kubeflow, Airflow).
  • Proven track record of delivering complex AI projects from concept to deployment.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Architecture Distributed Systems NLP Computer Vision AWS GCP

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