Software Engineer II - AI

MicrosoftRedmond, WA
68d$100,600 - $199,000

About The Position

Dynamics 365 is Microsoft's suite of enterprise software that powers many of the largest businesses in the world. The Customer Experience Applications Team delivers Dynamics 365 Contact Center, 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 extends the power of CRM's like Dynamics 365 Customer Service to enable organizations to instantly connect and engage with their customers via channels like Live Chat, Voice, and SMS. 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!

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.
  • 1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems.

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.
  • 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.

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.

Benefits

  • 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.

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What This Job Offers

Industry

Publishing Industries

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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