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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Neural Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Opportunity

Neural Horizon is at the forefront of the next technological revolution. We are seeking a visionary Senior AI Architect to lead the development of Project 2026, our flagship initiative to deploy autonomous generative AI systems for sustainable urban planning. In this high-impact role, you will define the architectural blueprint for scalable, ethical, and high-performance AI models that will shape the future of smart cities.

Why Join Us?

  • Work on the bleeding edge of AI and infrastructure.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a presence in the heart of SF.

Your Mission

As a Senior AI Architect, you will bridge the gap between theoretical research and production-grade deployment. You will collaborate with cross-functional teams of data scientists, engineers, and urban planners to deliver solutions that are not only technically superior but also socially responsible.

Responsibilities

  • Design and implement scalable machine learning pipelines and architectures for Project 2026.
  • Lead the research and integration of cutting-edge Large Language Models (LLMs) and neural networks.
  • Optimize model performance, latency, and resource efficiency for edge deployment in smart city environments.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous code reviews and architectural assessments to ensure system reliability.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Proven track record of deploying large-scale ML models to production environments.
  • Strong understanding of MLOps principles, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Cloud Architecture Kubernetes AWS System Design

Ready to Take This Challenge?

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