Software Engineer II - AI

Microsoft • Redmond, WA

8h

About The Position

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.
As an Software Engineer II - AI in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to design and implement intelligent solutions within Dynamics 365. You’ll collaborate with business and technology leaders, internal users, and partners to build scalable, production-ready systems that leverage AI to solve complex business requests. In this role, you are expected to bring software engineering fundamentals—architecture, coding, testing, and deployment—while also selecting and integrating the most effective AI models and frameworks to deliver measurable impact and innovation.
We innovate quickly and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge AI first technologies and to solve problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.
• Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level