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Solution Architect-AI and Generative AI

Solution Architect-AI and Generative AI

CGIOntario, Canada
25 days ago
Job description

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
  • Essential Qualifications

  • 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
  • Additional 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