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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect

FutureCore 2026
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are FutureCore 2026, a visionary company at the forefront of the AI revolution. Our mission is to architect the technological infrastructure that will define the next decade of human-machine interaction. We are seeking a visionary Senior AI Systems Architect to lead our core research division. If you are passionate about building scalable, ethical, and transformative AI systems, we want to hear from you.

As a key member of our leadership team, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are robust, efficient, and ready for the future.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure capable of processing petabytes of data in real-time.
  • Lead the research and development of advanced neural network architectures, focusing on Large Language Models (LLMs) and generative AI.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
  • Establish best practices for code quality, testing, and deployment in a CI/CD environment.
  • Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and regulatory compliance.
  • Mentor junior engineers and conduct technical workshops to foster a culture of continuous learning.
  • Optimize existing systems for performance, latency, and cost-efficiency.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Kubernetes/Docker).
  • Strong track record of shipping production-ready AI products from concept to deployment.
  • Experience with MLOps tools and data pipelines (e.g., Apache Spark, Airflow).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems MLOps AWS Kubernetes Docker Generative AI NLP

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