Lead Software Engineer, AI Platform

• Build and evolve the AI Platform which includes being able to assess the current architecture and map to the target state.
• Participate in all aspects of the development lifecycle: Ideation, Design, Build, Test and Operate
• Utilize a variety of software and tools both commercial and open source.
• Enable self-service tooling for data science teams to create and maintain models.
• Design, develop, integrate, and deploy tools for Data Science, GenAI and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
• Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps). Design, evaluate, and advise on the day-to-day work of Software Engineering for Machine Learning
• Ensure consistency with cloud architectural guiding principles.
• Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.

About You

You are a fit for the role of Lead Software Engineer, AI Platform, if you meet all or most of these criteria:

• 7 years experience in Software Engineering
• Hands-on experience working with at least one public cloud technology (AWS, Azure)
• Experience with service-oriented and/or microservices architecture
• Experience with LLMs and GenAI, AWS SageMaker, Azure ML, or similar Cloud AI capabilities
• Proficiency in modern programming languages such as Python, JavaScript, TypeScript, C/C++, Java.
• Experience with relational and non-relational databases
• Experience with Agile development and delivery Scrum, Lean, XP, Kanban methodologies.
• Hands on DevOps experience CI/CD in AWS, Git, GitHub, Monitoring, Log Analytics and others.
• A good understanding of frontend development (UI/UX concepts and frameworks, HTML, CSS, and Javascript) is an asset and a strong differential for this role.
• Technical leadership including being able to break down high level requirements to features