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Senior AI Systems Architect (2026 Vision)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizons is seeking a visionary Senior AI Systems Architect to lead our groundbreaking initiatives in next-generation generative models and autonomous systems. As we gear up for the transformative era of 2026, you will be at the helm of designing scalable, secure, and ethical AI infrastructures that power the next decade of innovation.

In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are not only cutting-edge but also robust and accessible.

Responsibilities

  • Architectural Leadership: Design and implement scalable AI/ML system architectures using state-of-the-art frameworks and cloud-native solutions.
  • Model Lifecycle Management: Oversee the full ML lifecycle from data ingestion and preprocessing to model training, validation, and deployment.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex business requirements into technical AI solutions.
  • Ethical AI Implementation: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and bias mitigation in all models.
  • Mentorship: Guide a team of talented engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years focused on Machine Learning and Artificial Intelligence.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with distributed computing systems (e.g., Kubernetes, Docker).
  • Cloud Mastery: Proven track record of deploying AI models on major cloud platforms (AWS, Google Cloud, or Azure).
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • Problem Solving: Exceptional ability to troubleshoot complex system issues and optimize performance under high load.

Required Skills

Python Machine Learning Deep Learning Cloud Computing Kubernetes TensorFlow AWS System Architecture

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