Devsu seeks a Senior Microsoft AI Developer to drive innovation with Generative AI technologies. In this role, you will design and build advanced AI tools, plugins, and microservices, setting new standards for excellence within a culture that fosters creativity, technological leadership, and continuous growth.

What You'll Do

Lead the design, development, and implementation of large-scale AI-driven software solutions using Microsoft 365 Agents Toolkit and Azure technologies.
Translate business requirements into technical specifications and deliver effective AI and automation solutions.
Develop, test, and deploy product features, ensuring they align with client needs and quality standards.
Support agile product delivery by working closely with cross-functional teams and adopting Agile Scrum methodologies.
Utilize Azure AI Foundry, Azure OpenAI, Graph connectors, API plugins, and Azure AI Search to deliver robust solutions.
Guide integration of APIs and microservices architectures for scalable and secure applications.
Implement best practices in source code management, CI/CD, and DevOps using tools like GitHub and Azure DevOps.
Collaborate with UX teams to incorporate user feedback and optimize end-user experiences.
Troubleshoot complex issues and provide support throughout the software development lifecycle.
Act as a subject matter expert, mentoring team members and contributing to continuous improvement initiatives.

What We're Looking For

Proven experience leading the design and implementation of large-scale AI-driven software solutions.
Expertise in translating business requirements into technical specifications for AI and automation.
Strong proficiency with the Microsoft AI ecosystem, including Azure AI Foundry and Azure OpenAI.
Demonstrated ability to develop, test, and deploy product features aligned with client needs.
Experience supporting agile delivery methodologies and collaborating in cross-functional teams.
Hands-on experience with API and microservices integration for scalable applications.
Proficiency in implementing source code management, CI/CD, and DevOps best practices.
Ability to troubleshoot complex issues throughout the development lifecycle.
Strong mentoring and knowledge-sharing capabilities.