AI is the strategic bet for Microsoft. The Azure AI Platform is right at the front end. Our team in Azure GenAI is at the cutting edge of developing large language model technologies to power Azure AI Platform products and offering them as a service for both internal and external applications. Our Azure Machine Learning Training Team is at the forefront of this mission, working on groundbreaking projects for training & customizing LLMs. We collaborate closely with research institutions, industry leaders, and organizations worldwide, including OpenAI, Meta, Mistral and numerous Microsoft internal product & research teams, to create innovative solutions that impact millions of users. The team is looking for a passionate, impact oriented, and analytical individual contributor with strong software design & engineering skills to build our Model as a Service offering. You will work on platform solutions that enable onboarding, training, customization, deployment and scaling of LLMs, partnering with data scientists & engineers from within Microsoft and external partners & model providers. Experience with or a background in large language modeling is a plus, but not required. **Responsibilities** + Execute independently on complex, multi-dependency, medium-high ambiguity projects + Work closely with IDC & US team counterparts for design & code reviews, align priorities, and effectively collaborate with appropriate stakeholders + Collaborate with key stakeholders to comprehend and identify user requirements, scope solutions, estimate work, and schedule deliverables + Lead discussions on the design & architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture + Manage and drive feature execution with high quality and great agility + Lead by example by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents + Mentor and grow junior engineers **Qualifications** **Required/Minimum Qualifications:** + Bachelor's Degree in Computer Science, or Computer Engineering, or related field AND 7+ years related software engineering experienceOR Master's Degree in Computer Science,or Computer Engineering, or related field AND 5+ years related software engineering experienceOR equivalent experience + Experience delivering large scale, distributed, cloud based software services + Ability to work collaboratively in a team and communicate complex concepts effectively **Preferred Qualifications:** + Proven track record of shipping and maintainingMicrosoft Azure cloud services, preferably related to serving machine learning models + Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD) + Passion for machine learning, artificial intelligence, and data science + Proficiency in programming languages & tools such as .Net, Java, Azure functions, Docker, Python + Quick learner with a passion for solving complex and exciting problems + Familiarity with Azure is a plus \#IDCAIPlatformHiring 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. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .