The role involves building and maintaining internal AI applications by developing robust backend services and integrating them with functional front-end interfaces. You will work closely with the Head of Engineering to connect proprietary data with LLMs and ensure code is well-tested within cloud infrastructure.
The architect will lead technical solutioning and delivery, managing the full lifecycle from proposal to production. Responsibilities include designing target-state architectures, building generative AI systems, and mentoring client engineering teams.
The role involves designing, developing, and implementing customizations within the Dynamics 365 Retail and Commerce ecosystem. You will also be responsible for troubleshooting production issues, managing cloud-hosted environments, and maintaining technical design documentation.
The Lead Architect will own the end-to-end technical direction, architecture, and operational reliability of the agentic AI product. They will lead a technical pod, manage integrations, and implement enterprise-grade security and governance controls.
The role involves supporting, maintaining, and improving infrastructure and production platforms to ensure service stability and resilience. You will manage incidents, perform proactive maintenance, and collaborate with cross-functional teams to deliver end-to-end platform outcomes.
Design and develop AI-driven solutions using Microsoft Copilot and Copilot Studio to enhance business experiences. Integrate these copilots with enterprise systems like Microsoft 365 and Power Platform while ensuring security and governance.
Configure and customize D365 CE applications and build Power Platform solutions. Develop custom components including plugins, JavaScript, and PCF controls to support implementation and maintenance.
