Solution Architect-AI and Generative AI
Job details
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 development
- Building 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 technologies
- Having strong architectural acumen designing solution architectures for AI and GenAI solutions
- Mitigating risks and optimizing costs associated with choosing a GenAI architecture solution and advise clients on best practices in GenAI
- Helping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experience
- Being "hands-on" to build, tune, deploy and monitor (MLOps and LLMOps) robust Machine Learning solutions built on RAG and latest GenAI techniques
- Helping fine-tune LLMs with latest cost optimized PEFT techniques like LoRA, QLoRA
- Strategically and intensely collaborating with innovation team and the client stakeholders and account teams to ideate and build key GenAI solutions
- Collaborating with other Data Scientists and Data Engineers in a client engagement setting and leading the delivery of work
- Implementing proof of concepts to show value and then package and scale to full ML solutions at scale on both on-prem and cloud environments
- Architecture design and solution design experience with GenAI and AI solutions – including aspects like cost, scalability, security, performance, and maintainability
- Hands-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 production
- Prompt Engineering experience on tools such as Azure Promptflow, Amazon Bedrock, Azure AI Studio would be ideal
- Experience building LLM-based solution on Azure, AWS or GCP
- Experience fine-tuning LLMs with latest techniques
- Experience with multiple models including open source models deployment (LLaMa, Mistral et al)
- Experience with multiple Vector Databases
- 5 or more years "hands-on" working experience delivering diverse Advanced Analytics and AI solutions
- Hands-on expertise in building and deploying code in Python, SQL and major programming languages with at least one major Cloud platform Azure, AWS, GCP
- Experience with GenAI agents and agentic frameworks like Crew, Autogen etc.
- Experience with MSFT 365 Copilot, Copilot plugins and connectors, Copilot Studio
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