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Sales agent is a flagship offering built on Microsoft Agent 365, building the next generation Agentic experience that powers many of the largest businesses in the world. This team is rapidly building a suite of agents for enteprise sales and enterprise service customers to planet scale workloads. These agents empower organizations to confidently deploy, govern, and manage agents at scale, and realize end value with intuitive low-touch customization on native office channels like outlook and teams. Microsoft’s Small and Medium Enterprises & Channel (SME&C) organizations are early adopters for the Sales Agent. Current focus is to engage underserved SMB customers with limited prior Microsoft engagement, and accelerate a hyper personalized, high-quality experience and relationship with Microsoft and its cloud solutions. As an Software Engineer II - AI in the Microsoft Sales Agent team, you will apply both software engineering and AI expertise to design and implement intelligent solutions within Agent 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, AI assisted coding, testing, and deployment—while also selecting and integrating the most effective AI models and frameworks to deliver measurable impact and innovation. Running evals to measure and improve end to end quality is intrinsic to the new development paradigm. 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.
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 using latest Github CLI and AI assisted tools
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
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 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#, JavaScript, or Python
OR Bachelor's Degree in Computer Science related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C#, 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
AI-first development, familiarity and ease of adopting contemporary engineering development tools like Git hub copilot to rapidly build, deploy and experiment on production
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems