AI and GenAI Architect at CGI
Toronto, ON M5B 2L7, Canada -
Full Time


Start Date

Immediate

Expiry Date

14 Sep, 25

Salary

0.0

Posted On

15 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Architecture, Programming Languages, Maintainability, Data Migration, Licensure, Information Technology, It, Data Modeling, Connectors, Data Engineering, Data Validation, Data Warehousing, Scalability, Python, Code, Azure, Aws, Designation, Security, Sql

Industry

Information Technology/IT

Description

Category: Analytics and Emerging Digital Technologies
Main location: Canada, Ontario, Toronto
Alternate Location(s):
Canada, Ontario,
Canada, Alberta,
Canada, Ontario, Toronto
Canada, Quebec, Montreal
Position ID: J0325-0880
Employment Type: Full Time

POSITION 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.
Location: Montreal/Toronto preferred- Open to locations within proximity to a CGI Office
* 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

SKILLS:

  • Data Engineering
  • Data Migration
  • Data Modeling
  • Data Validation
  • Data Warehousing
  • English
  • French

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 Studi
Responsibilities

YOUR FUTURE DUTIES AND RESPONSIBILITIES:

As an AI and Generative AI Architect 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

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE:

  • 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

LI-AB19

Use of the term ‘architect’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices architecture or possesses the requisite license as prescribed by the applicable provincial or territorial architect regulator. We are seeking individuals with expertise in IT architect-related functions, but licensure from an architect regulator is not a prerequisite for this position. Architecture is a regulated profession in Canada which is restricted in terms of use of titles and designation.

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