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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Shaping the 2026 Landscape

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are Nexus Horizon Systems, a pioneering force in advanced artificial intelligence infrastructure. We are looking for a visionary Senior AI Architect to lead the development of our proprietary neural networks designed for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our AI models are not only cutting-edge but also robust and efficient.

What You'll Do:

You will drive the architectural vision for our next-generation AI platform. Your expertise will shape the core of our predictive analytics engine, optimizing performance in real-time data streams and enabling our clients to anticipate market shifts with unprecedented accuracy.

Responsibilities

  • Architect and implement scalable machine learning systems and deep learning models.
  • Optimize algorithms for high throughput and low latency in production environments.
  • Lead the design of data pipelines that ingest, clean, and transform massive datasets.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing applications.
  • Mentor junior engineers and conduct technical deep-dives to foster a culture of excellence.
  • Research and evaluate new AI technologies to maintain a competitive advantage.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in machine learning engineering, AI development, or data science.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade models at scale.
  • Strong communication skills with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing AWS GCP Docker Kubernetes Distributed Systems Data Engineering

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