Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.
Job Title: Data Architect+AI/Gen AI
Experience: 10+yrs
Category: Software Development
Job location: Bangalore
Work Type: Hybrid
Employment Type: Full Time / Permanent
Work Mode: Hybrid (3 days in office, 2 days WFH
CGI Office: TPLS Bangalore / E-city Bangalore
Your future duties and responsibilities
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 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-powered 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.
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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Required qualifications to be successful in this role
Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation.
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll 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.
You’ll shape your career by joining a company built to grow and last. You’ll 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 team—one of the largest IT and business consulting services firms in the world.
