Microsoft Dynamics 365 Contact Center is an AI-first solution that lets our customers run intelligent and highly scalable contact centers. We are building the next generation of our applications running on Azure that pull together Dynamics 365, Office 365 and a number of other Microsoft cloud services to deliver high value, complete, and predictive application scenarios across all devices and form factors. D365 Contact Center is a robust application that enables organizations to instantly connect and engage with their customers via channels like Live Chat, Voice, and SMS.
Requirements
- 1+ years of experience with GenAI, Large Language Models, or agentic systems
- 1+ years of experience with coding, debugging, and problem-solving skills
- AI & Domain Expertise: Deep expertise in one or more AI domains, with a proven track record of deploying and scaling AI models in cloud environments.
- MLOps & LLMOps: Experience with MLOps workflows (CI/CD, monitoring, retraining pipelines) and familiarity with modern LLMOps frameworks.
- Cloud & Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools.
- Engineering Excellence: Passion for building high-quality, reliable, and maintainable software with coding and debugging practices.
- coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
Responsibilities
- Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.
- Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact.
- Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.
- Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with MLOps and DevOps practices.
- Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning.
- Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies.
- Build and debug production-grade code in distributed systems using C-Sharp, Azure.
Other
- 3 days / week in-office
- Travel 0-25%
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- We innovate quickly and collaborate closely with our partners and customers in a very agile environment.
