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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Next Decade of Intelligence.

Nexus Future Systems is pioneering the 2026 Initiative, a revolutionary framework for next-generation autonomous decision-making. We are looking for a visionary Lead AI Architect to architect the backbone of our platform. If you are an expert in large-scale machine learning and possess a passion for building ethical, high-performance AI systems, this is your chance to lead the charge.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are scalable, secure, and ready for the future.

Responsibilities

  • Design and implement scalable AI architectures for Project 2026, focusing on LLMs and generative models.
  • Lead a high-performance engineering team to deliver robust, low-latency AI solutions.
  • Optimize model inference pipelines to ensure cost-efficiency and speed in cloud environments.
  • Collaborate with cross-functional stakeholders to define product requirements and technical roadmaps.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Ensure all systems adhere to rigorous security protocols and ethical AI standards.
  • Mentor senior engineers and drive technical innovation within the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership role.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Deep knowledge of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
  • Proven experience deploying and scaling large-scale AI models in production environments.
  • Strong understanding of MLOps, CI/CD, and containerization technologies.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes System Design MLOps Machine Learning Generative AI

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