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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect | Building the Future (2026)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future is Now. Nexus Horizon is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation intelligent systems. If you are passionate about pushing the boundaries of machine learning, deep learning, and scalable infrastructure, this is your opportunity to define the standard for the future.


As part of our elite R&D division, you will bridge the gap between theoretical AI research and production-grade deployment. You will work in a dynamic environment where innovation isn't just encouraged—it's the metric of success.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the development of scalable AI infrastructure capable of processing petabytes of data in real-time.
  • Model Deployment: Lead the transition of cutting-edge ML models from research to production environments, ensuring high availability and performance.
  • Technology Strategy: Evaluate and integrate emerging technologies (e.g., Generative AI, Edge Computing) to stay ahead of the 2026 tech curve.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Optimization: Drive performance optimization for inference latency and resource utilization across distributed clusters.
  • Ethical AI: Implement guidelines and frameworks to ensure AI systems are fair, transparent, and safe.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural role.
  • Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Infrastructure: Strong hands-on experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
  • Domain Knowledge: Demonstrated expertise in Natural Language Processing (NLP) or Computer Vision.
  • Problem Solving: Ability to solve complex, unstructured problems with innovative technical solutions.

Required Skills

Python Machine Learning MLOps TensorFlow PyTorch Kubernetes AWS GCP NLP Distributed Systems Deep Learning

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