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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are building the future of autonomous intelligence, and we need a visionary Lead AI Architect to define the architecture for our 2026 roadmap. If you are passionate about pushing the boundaries of Generative AI, Neural Networks, and scalable machine learning systems, this is your chance to lead a world-class team.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI systems are not only powerful but also ethical, secure, and efficient. Join Nexus Future Systems and help shape the technological landscape of tomorrow.

Responsibilities

  • Architect and lead the development of next-generation AI models and infrastructure.
  • Define the technical vision and roadmap for our 2026 AI capabilities, focusing on scalability and performance.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Oversee the end-to-end machine learning lifecycle, from data ingestion to model deployment.
  • Ensure compliance with ethical AI guidelines and industry best practices.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of leading high-impact AI projects from concept to production.
  • Strong understanding of deep learning architectures, NLP, and Computer Vision.
  • Experience with MLOps platforms (e.g., Kubernetes, AWS SageMaker, Databricks).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Kubernetes AWS Architecture Leadership

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