Microsoft Senior Software Engineer - CoreAI 

Taiwan, Taoyuan City 

90783465

the best of all

Required Qualifications:

• Bachelor's Degree in Computer Scienceor 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
  • OR equivalent experience
• 4+ years of proventechnical problem solving, architecture, design, and implementation skills asevidencedby prior projects

Other Requirements:

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.

Preferred Qualifications:

• 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.

• Experience with Generative AI, OpenAI GPT(Generative Pre-trained Transformer)models, Azure AI Services, and Machine Learning techniques

• Experience in dealing with ambiguity, and handling changes in customer requirements

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Architect and develop end-to-end AI solutions: Design systems that span cloud services, on-premises systems, and edge devices. Quickly learn and integrate new Azure services and AI technologies (LLMs, agents, fine-tuning techniques, etc.) into the solutions you build.

• Embrace rapid experimentation: Take smart risks and prototype quickly. Iterate fast on ideas, experimenting with bold approaches to find effective solutions. Learn from successes and failures to continuously improve and refine our offerings.

• real businessvalue.

• Cross-team collaboration: Partner with product engineering teams, researchers, data scientists, and other engineers across Microsoft. Bring the best of Microsoft’s innovations to each project and ensure our solutions are aligned with and influencing the direction of Azure AI platform services.

• Technical leadership: Take initiative in driving projects andprovidearchitectural guidance. Mentor and guide fellow engineers and partner teams on AI solution design and best practices.

• Knowledge sharing: Transfer insights and best practices to our partners and the broader community. This may include writing sample code or documentation, training partner engineering teams, and presenting our work to customers or at industry events.