At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve. At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at .
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.
Key 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-powered 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 dataAI-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-powered solutions to executive clients.
. Support pre-sales solutioning PoCs and RFPs by showcasing advanced dataAI capabilities.
. Act as a trusted advisor in modern data & AI transformation initiatives.
. Data Architecture Expertise in Data Warehouses (BigQuery Teradata or any cloud services) and Data Lakes/Lakehouses (Databricks Delta Lake etc..). Strong knowledge of Data Mesh Data Fabric and distributed architectures. Hands-on with ETL/ELT tools (Ex: Informatica Talend dbt Airflow SSIS DataStage Glue ADF). Real-time data processing with Kafka Flink Kinesis Spark Streaming. Experience with big data ecosystems (Google/AWS/Azure services or Hadoop Spark Hive etc..).
. AI/ML & GenAI Skills Hands-on with ML/DL frameworks (TensorFlow PyTorch Scikit-learn Hugging Face). Experience deploying and scaling models via MLOps/LLMOps (MLflow Kubeflow SageMaker Vertex AI or any other cloud services). Strong understanding of Generative AI (LLMs embeddings vector databases RAG). Familiarity with GenAI cloud services (Ex: Azure OpenAI AWS Bedrock GCP Vertex AI Hugging Face Hub). Knowledge of semantic search knowledge graphs and AI-enhanced metadata management.
. Analytics & Insights Proven ability to design data systems that support advanced analytics on distributed systems. Experience enabling business intelligence (BI) predictive analytics and prescriptive AI insights. Ability to integrate AI-powered BI tools (Power BI Tableau Qlik with embedded AI/GenAI).
. Soft Skills Excellent communication and consulting skills with C-level and technical stakeholders. Strategic thinking to connect data platforms with AI/GenAI use cases. Leadership in mentoring architecture governance and knowledge-sharing.
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Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Staff IC
The COMPANY is one of the few end-to-end consulting firms with the scale, reach, capabilities and commitment to meet clients’ enterprise digital transformation needs. Our 77,500 consultants and professionals work side-by-side with clients in 10 industries across more than 400 location ... View more