Software Engineer II - Applied AI
Microsoft
Software Engineer II - Applied AI
Redmond, Washington, United States
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Overview
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.
We are looking for a Software Engineer II - Applied AI to join our team!
As a Software Engineer II - Applied 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 challenges. 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.
Qualifications
Required Qualifications:
- 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.
- 1+ years of experience with GenAI, Large Language Models (LLMs), or agentic systems.
- 1+ years of experience with customers success, zero trust security and compliance.
- 1+ years of experience with coding, debugging, and problem-solving skills.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 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 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: Building high-quality, reliable, and maintainable software with coding and debugging practices.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#BICJobs #CESJOBS
Responsibilities
- Apply both software engineering and AI expertise to build intelligent, scalable solutions that power Dynamics 365 services used globally.
- Collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements.
- 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#, Azure.