Description

You will lead the design, development, and deployment of generative AI models and full-stack systems.

Responsibilities

• Design and deploy generative AI models and systems from data pipelines to front-end applications.
• Lead the architecture of generative AI systems to ensure scalability, performance, and reliability.
• Develop robust back-end APIs and efficient data pipelines to feed and extract outputs from models.
• Integrate generative AI outputs seamlessly into user interfaces and optimize front-end responsiveness.
• Implement M365 Power Platform Co-pilot capabilities, including architecture, governance, and data loss prevention policies.
• Leverage AI Builder within Power Apps, Power Virtual Agents, and Power Automate workflows.
• Guide engineers in designing applications and integrations using Microsoft Graph APIs.

Required Skills

• 12+ years of experience in software engineering with a focus on full-stack development.
• 4+ years of experience with generative AI models including GANs, VAEs, and autoregressive models.
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
• Experience with front-end frameworks including React, Vue.js, or Angular.
• Expertise in back-end technologies such as Python, Java, or Node.js.
• Ability to frame architecture, governance, and data loss prevention policies for Co-Pilot.
• Experience implementing integrations utilizing Microsoft Graph APIs.
• Bachelor's degree or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent experience.

Key Skills

Education

Any Graduate