The Emerging Technologies team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and AI advisor and go-to implementation partner for our global clients' Data and Advanced Analytics needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI partner and develop new and exciting opportunities in latest technologies.
- Extensive hands-on development experience in Generative AI projects is a MUST HAVE - this is not a beginner role please
- This is a hands-on and Architect role, not a pure architecture design role
- This role comes with sometimes intense delivery expectations churning out POVs for clients in a short period of time and then going on to implement a full-scale production solution ensuring right user experience and adoption
- This role is open to locations within proximity to a CGI office
As an Architect (AI and Generative AI) on our team, your responsibilities will include :
Leading a client or internal CGI project as the Technical Architect and Lead – architecting solutions and also contributing in part hands-on to solution developmentBuilding Large Language Models-based and NLP-based solutions for CGI clients by researching the best in class techniques and being a self-starter with newer technologiesHaving strong architectural acumen designing solution architectures for AI and GenAI solutionsMitigating risks and optimizing costs associated with choosing a GenAI architecture solution and advise clients on best practices in GenAIHelping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experienceBeing "hands-on" to build, tune, deploy and monitor (MLOps and LLMOps) robust Machine Learning solutions built on RAG and latest GenAI techniquesHelping fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRAStrategically and intensely collaborating with innovation team and the client stakeholders and account teams to ideate and build key GenAI solutionsCollaborating with other Data Scientists and Data Engineers in a client engagement setting and leading the delivery of workImplementing proof of concepts to show value and then package and scale to full ML solutions at scale on both on-prem and cloud environmentsEssential Qualifications
Architecture design and solution design experience with GenAI and AI solutions – including aspects like cost, scalability, security, performance, and maintainabilityHands-on work experience with implementing Generative AI, LLMs, or GenAI solutions on at least 2-5 different projects or at least 1 project that was deployed in productionPrompt Engineering experience on tools such as Azure Promptflow, Amazon Bedrock, Azure AI Studio would be idealExperience building LLM-based solution on Azure, AWS or GCPExperience fine-tuning LLMs with latest techniquesExperience with multiple models including open source models deployment (LLaMa, Mistral et al)Experience with multiple Vector Databases5 or more years "hands-on" working experience delivering diverse Advanced Analytics and AI solutionsHands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GCPAdditional non-essential qualifications
Experience with GenAI agents and agentic frameworks like Crew, Autogen etc.Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio