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Dynamics 365 is Microsoft’s suite of enterprise applications powering many of the world’s largest organizations. The Customer Experience Applications team builds Dynamics 365 Sales Development Agent, an AI-first solution that helps scale revenue growth by automating and augmenting top-of-funnel sales engagement. We are building intelligent, cloud-native applications on Azure, unifying Dynamics 365, Microsoft 365, Agent 365, and broader Microsoft cloud capabilities to deliver predictive, high-value sales experiences across Microsoft Office applications, products, and devices. These solutions use advanced AI to help sales teams identify, prioritize, and engage prospects more effectively. The Sales Development Agent acts as an autonomous digital sales assistant, researching leads, qualifying prospects, and initiating personalized outreach across email, chat, and other channels — helping organizations accelerate pipeline creation and improve lead conversion at scale.
Job Responsibility:
Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
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
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
AI & Domain Experience: 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
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems