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Senior AI Architect - 2026 Vision

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

Job Description

The Future of Intelligence Starts Here

Nexus Core Systems is pioneering the next generation of autonomous intelligence. We are seeking a visionary Senior AI Architect to lead the development of the neural architectures that will define the technological landscape of 2026 and beyond. If you possess a deep understanding of machine learning, a passion for ethical AI, and the ability to architect systems at scale, we want to hear from you.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are not only powerful but also scalable and secure. Join us in shaping the future of human-machine interaction.

Responsibilities

  • Design and implement cutting-edge neural network architectures for large-scale language models and autonomous agents.
  • Oversee the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training, evaluation, and deployment.
  • Lead architectural decisions that balance performance optimization with computational efficiency and cost.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to deliver AI-powered features.
  • Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure all AI systems adhere to strict ethical guidelines, bias mitigation protocols, and data privacy regulations.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in machine learning engineering, data science, or AI architecture.
  • Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of deploying large-scale models into production environments using MLOps tools.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with Generative AI, LLMs, and Agentic workflows.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes Generative AI LLMs

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