Data Architect - AI/GenAI @ CGI

This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

 

Your future duties and responsibilities

Data Architecture Engineering . Design and implement data architectures. Ex Data Lakes, Data Warehouses, Lakehouses, Data Mesh, and Data Fabric.
. Design / Build ETL/ELT pipelines for batch and real-time data ingestion, processing, and integration across heterogeneous systems.
. Drive data governance, security, metadata management, master data management, and data quality frameworks.
. Apply big data processing techniques on distributed systems (Ex Hadoop, Spark, Presto, Dask) to handle large-scale enterprise workloads.
. Enable advanced analytics and AI-readiness of enterprise data platforms to deliver actionable business intelligence. AI/ML GenAI Solutioning . Architect AI/ML pipelines integrated with data platforms for predictive, prescriptive, and generative use cases.
. Implement Generative AI (GenAI) solutions for RAG (Retrieval-Augmented Generation) with vector databases Synthetic data generation to augment ML training datasets. AI-powe'red data quality and enrichment in ETL/ELT workflows.
. Drive adoption of DataOps, MLOps, and LLMOps for enterprise AI lifecycle management.
. Incorporate knowledge graphs, semantic layers, and data fabric concepts for enhanced data discovery and AI integration. Architecture Strategy Leadership . Define enterprise-wide data AI/GenAI strategies aligned to digital transformation goals.
. Establish reference architectures for hybrid data platforms and AI-driven ecosystems.
. Guide organizations on responsible AI/GenAI adoption (governance, compliance, bias detection, explainability).
. Serve as a thought leader in Data Architecture / Analytics and AI implementation strategies. Client Engagement Advisory . Collaborate with business stakeholders to translate requirements into data+AI-enabled architectures.
. Strong consulting skills to engage in client discussions, understanding their challenges and design solution which drives their business.
. Design and Present architecture roadmaps, data strategies, and AI-powe'red solutions to executive clients.
. Support pre-sales solutioning, PoCs, and RFPs by showcasing advanced data+AI capabilities.
. Act as a trusted advisor in modern data AI transformation initiatives.

Required qualifications to be successful in this role

Skills

• Apache Kafka
• Java
• Microservices
• JAXB