Software Engineer - AI
Overview
Microsoft is embarking on a new effort to address the growing needs of employees around the world. We are building a product suite designed to address the fundamental shift in how people work, build their career, and find meaning in their workplace.
Employee engagement is undergoing a fundamental shift in response to economic, demographic, and societal changes. People want to be excited about their work, be connected to their company culture, understand how to succeed, and feel supported across a spectrum of onboarding, skilling, coaching and mentoring. Our team is dedicated to examining the employee journey and delivering software and services to make it better.
We are looking for a Software Engineer - AI to come help us build enterprise scale AI services that serve as a catalyst to Viva suite's success. You will be responsible for owning and building org-wide new initiatives and horizontal features that span multiple modules in the Microsoft Viva Product Suite. The Viva Employee Experience Platform team is run as a start-up, encouraging team members to share a sense of "founderism". Team members engage directly with customers, iterate rapidly, and focus on solving the needs of users around the world. Our culture is inclusive, casual, and high energy. Our team celebrates diverse backgrounds, and values passion for serving our customers. We value our strong sense of accountability and provide team members with opportunities for learning and career growth.
If all of this sounds exciting to you, we would love to hear from 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.
Qualifications
Required Qualifications:
- 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.
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:
- 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
- OR Master'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.
- Experience building, delivering, and maintaining AI Inferencing based distributed systems / microservices architectures (Azure or comparable cloud).
- Practical experience with technologies like LLM, OpenAI for embedding and inferences generation.
- Practical experience with the tradeoffs of using different cloud technologies in storage, caching, and compute.
- Strong technical abilities around service design, coding, debugging, and problem solving.
- Excellent verbal, written and cross-group collaboration and communication skills and commitment to deliver the best experience for customers.
Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until November 13, 2024.
#VivaEXP #VivaAI
Responsibilities
- Design, develop, and implement scalable AI inferencing systems for enterprise-level applications.
- Collaborate with data scientists, ML engineers and backend service team members to integrate machine learning models into production environments.
- Optimize AI inferencing pipelines for performance, latency, and scalability.
- Take ownership of component design decisions working with product owners and dependencies.
- Develop and release horizontal platform features for the Viva Product Suite.
- Ensure the security, compliance, and efficiency of AI systems in enterprise environments.
- Embody our culture and values