Senior Software Engineer - Applied AI at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C#, Azure, AI Solutions, MLOps, DevOps, GenAI, Large Language Models, Speech-to-Text, Cloud Infrastructure, Docker, Kubernetes, CI/CD, Monitoring, Retraining, Debugging, Problem-Solving

Industry

Software Development

Description

You'll 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. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 4+ years of experience with customers success, zero trust security and compliance. 4+ years of experience with coding, debugging, and problem-solving skills. Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience with GenAI, Large Language Models (LLM), or agentic systems. Experience with Speech-to-Text services. 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.

Responsibilities

Collaborate with cross-functional teams to deliver high-impact features and design scalable application capabilities integrating AI models. Optimize AI model performance and reliability in production environments while ensuring high reliability and performance of applications through intelligent monitoring.