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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect @ Vantage 2026

Vantage 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Welcome to the future of technology. At Vantage 2026, we are pioneering the next generation of artificial intelligence and spatial computing. We are not just building software; we are architecting the infrastructure for the year 2026 and beyond. If you are a visionary engineer ready to push the boundaries of what is possible, we want to hear from you.

Our mission is to integrate advanced AI solutions into daily life, creating seamless, intelligent ecosystems that redefine productivity and connectivity.

Responsibilities

  • Design and deploy scalable machine learning models for predictive analytics and autonomous systems.
  • Lead the architecture of high-performance distributed systems capable of handling exabyte-scale data.
  • Collaborate with cross-functional teams to integrate AI frameworks into consumer hardware.
  • Optimize neural networks for real-time inference on edge devices.
  • Mentor junior engineers and establish best practices for code quality and system reliability.
  • Conduct research to identify emerging trends in generative AI and deep learning.
  • Drive the technical roadmap for our flagship 2026 product suite.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering with a focus on machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Strong background in distributed computing (Kubernetes, Docker, Apache Spark).
  • Demonstrated experience deploying models to production at scale.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.
  • Strong communication skills and the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes Distributed Systems AI Architecture San Francisco

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