Advisor for the GenAI platform team driving generative AI solutions for IT and business units. Collaborating with AI teams and stakeholders to implement and improve platform capabilities.
Responsibilities
Work in the Generative AI Platform team in implementing and maintaining to deliver a comprehensive generative AI solution for IT and business units
Work collaboratively with AI teams, Developers and business units for platform on-boarding and enablement
Apply DevOps best practices to continuously improve the platform's performance, stability, and security
Producing clean, maintainable, and efficient code based on defined specifications that you will help contribute to
Performing code reviews and providing peer coaching/guidance to other team members
Automate platform deployment and management
Ensure strong adoption and integration of security best practices
Apply Data Governance best practices
Developing production-grade generative AI plug-ins, extensions and microservices
Develop platform requirements working with various IT stakeholders
Help in defining key platform performance metrics and ensure proactive response
Collaborate closely with data scientists, analysts, and other stakeholders to understand their data requirements and translate them into robust data solutions
Prepare environment dashboards and report on environment health, usage and availability
Support the GenAI platform and its underlying solutions
Ensure a leading awareness of the market trends and opportunities on the subject matter
Produce and review Architecture documentation
Define best practices framework and guidelines
Requirements
Solid expertise on the topic of generative AI
Experience and know-how of CI/CD best practices with tools such as GitHub Actions
Experience using OpenAI ChatGPT APIs or Azure OpenAI
Technical leadership experience
Experience in multi-cloud administration (Azure, GCP, AWS)
Strong experience with GitHub, Terraform, Ansible, Python
Solid understanding of AI engineering & Data Engineering
Deep knowledge of LLM usage and LLMOps
Solid knowledge of AI-OPS and anomaly detection
Comfortable with scripting or programming languages
Familiarity with observability and Site Reliability Engineering (SRE)
For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English speaking colleagues across the country.
Benefits
Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more
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