Company Profile:
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: Copilot Studio Architect
Position: AC/LA
Experience: 12-18 years
Category: Software Development/ Engineering
Shift: 24*7 Rotational Shift (Mainly EST) – All 5 days work from office
Main location: Bangalore, Chennai
Position ID: J0626-0314
Employment Type: Full Time
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 12 years of relevant experience.
Must Have Skill : Microsoft Azure Cloud, IAC, Platform Engineering, Artificial Intelligence & Generative AI, Security & Identity
Skill – Domain : Cloud & AI Platform Architecture
Position Description:
CGI APAC is seeking an experienced and visionary Azure Cloud and AI Platform Architect to lead the architecture, governance, and implementation of enterprise-scale Azure Cloud, Generative AI, and Agentic AI platforms. The ideal candidate will possess deep expertise in Microsoft Azure, Azure AI Services, Azure OpenAI, Azure AI Foundry, cloud-native architectures, enterprise security, and AI governance frameworks.
This role requires a strategic technology leader capable of designing scalable, secure, and compliant AI-enabled cloud platforms that accelerate digital transformation while aligning with CGI’s Technical Governance Framework and Microsoft's AI reference architecture.
The Architect will collaborate with business leaders, enterprise architects, engineering teams, security teams, and client stakeholders to establish cloud and AI platforms that support intelligent applications, copilots, AI agents, analytics, automation, and emerging AI workloads.
Key Responsibilities
Cloud & AI Platform Architecture
- Design and architect enterprise-scale Azure Cloud and AI platforms.
- Define cloud-native reference architectures for AI, analytics, automation, and digital transformation initiatives.
- Develop scalable multi-region and multi-tenant platform architectures leveraging Azure services.
- Establish enterprise architecture standards, reusable patterns, and governance frameworks for AI-enabled solutions.
- Lead platform modernization initiatives and cloud adoption programs.
AI & Agentic Architecture
- Deploy Generative AI, Agentic AI, and Copilot-based solutions on Azure.
- Architect AI agent ecosystems using:
o Azure AI Foundry
o Azure OpenAI Service
o Microsoft Copilot Studio
o AutoGen
o Semantic Kernel
o Agent-to-Agent (A2A) architectures
o Model Context Protocol (MCP)
- Knowledge on Retrieval-Augmented Generation (RAG) platforms and knowledge retrieval architectures.
- Establish AI orchestration patterns, guardrails, prompt management, and model lifecycle governance.
Cloud Governance & Security
- Define cloud governance models aligned with:
o Azure Landing Zones
o Cloud Adoption Framework (CAF)
o Well-Architected Framework (WAF)
o Responsible AI Principles
o Identity and Access Management
o Least-Privilege Access
o Conditional Access
o Data Protection
o Regulatory Compliance
o GDPR
o EU AI Act
o ISO 27001
o SOC2
o Client-specific regulatory requirements
Platform Engineering & Operations
- Platform capabilities for AI and cloud workloads.
- Define observability, monitoring, and operational excellence frameworks.
- Design resilient, highly available, and secure platform environments.
- Establish DevSecOps, MLOps, and AIOps practices.
- Provide architectural leadership for platform reliability, scalability, and cost optimization.
Stakeholder & Leadership Responsibilities
- Collaborate with business stakeholders to translate strategic objectives into scalable technology solutions.
- Provide architecture governance and technical leadership across programs.
- Lead architecture reviews and design authority forums.
- Mentor engineering teams on cloud, AI, security, and governance best practices.
- Drive innovation and technology strategy across CGI APAC CoE initiatives.
Required Technical Skills
Microsoft Azure Cloud
Core Azure Services
o Azure Landing Zones
o Azure Resource Manager (ARM)
o Azure Virtual Networks
o Azure Kubernetes Service (AKS)
o Azure App Services
o Azure Functions
o Azure Container Apps
o Azure API Management
o Azure Front Door
o Azure Load Balancer
Infrastructure as Code
o Terraform
o Bicep
o ARM Templates
o Azure Deployment Pipelines
Platform Engineering
o Platform-as-a-Product models
o Self-Service Platforms
o Developer Portals
o Internal Developer Platforms (IDP)
Artificial Intelligence & Generative AI
AI Platforms
- Strong exposure in (Deployment, Not Development):
o Azure AI Foundry
o Azure OpenAI Service
o Azure AI Search
o Azure AI Services
o Azure Machine Learning
o Azure Cognitive Services
Generative AI
- Experience deploying solutions using:
o GPT Models
o Large Language Models (LLMs)
o Multimodal AI
o Prompt Engineering
o RAG Architectures
o Vector Databases
o Knowledge Grounding
Agentic AI
o Microsoft Copilot Studio
o AutoGen
o Semantic Kernel
o Multi-Agent Systems
o MCP Standards
o A2A Communication Frameworks
o AI Agent Governance
Security & Identity
Identity & Access Management
o Microsoft Entra ID
o Managed Identities
o Service Principals
o Conditional Access Policies
o RBAC
o Privileged Identity Management (PIM)
Security Platforms
o Microsoft Defender Suite
o Microsoft Sentinel
o Microsoft Purview
o Azure Key Vault
o Microsoft Security Copilot
Compliance & Governance
o Responsible AI Frameworks
o Data Governance
o AI Risk Management
o Data Classification
o Privacy Controls
o Audit & Compliance Frameworks
Data & Analytics Platforms
Data Platforms (Added Advantage)
o Azure Databricks
o Microsoft Fabric
o Azure Synapse Analytics
o Azure Data Factory
o Azure SQL
o Cosmos DB
AI Data Foundations
- Exposure to (Deployment):
o Vector Databases
o Embedding Models
o Knowledge Graphs
o Data Cataloging
o Metadata Management
o Data Quality Frameworks
DevSecOps, MLOps & Observability
DevSecOps
o Azure DevOps
o GitHub Enterprise
o GitHub Actions
o CI/CD Automation
o Security Automation
MLOps & AIOps
o Model Lifecycle Management
o Model Versioning
o Experiment Tracking
o AI Monitoring
o Drift Detection
o Automated Deployment Pipelines
Observability
o Azure Monitor
o Application Insights
o Log Analytics
o Agent 365
o SIEM Integration
o Centralized Audit Logging
o Anomaly Detection
Programming & Automation (Added Advantage)
o Python
o JavaScript / TypeScript
o PowerShell
o APIs
o AI Services
o Cloud Automation Frameworks
o Platform Tooling
Preferred / Additional Skills
o Azure Solutions Architect Expert
o Azure AI Engineer Associate
o Azure Administrator Associate
o Cybersecurity Architect Expert
o Microsoft Fabric
o Microsoft Copilot Ecosystem
o Power Platform
o Dynamics 365 AI Integrations
o Enterprise Architecture Frameworks (TOGAF)
o FinOps
o Green Cloud Initiatives
o AI Governance Boards
o Enterprise Risk Management
- Strong stakeholder management, executive presentation, and communication skills.
Educational Qualification
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Cloud Computing, Engineering, or related discipline.
Why Join CGI APAC ?
- Opportunity to architect next-generation Azure Cloud and AI platforms.
- Lead enterprise-scale Generative AI and Agentic AI transformation programs.
- Work with Microsoft’s latest AI ecosystem including Azure AI Foundry and Copilot technologies.
- Exposure to global cloud modernization and AI governance initiatives.
- Collaborative engineering culture with strong innovation focus.
- Career growth within CGI’s high-impact APAC innovation and transformation ecosystem.
Behavioural Competencies :
Proven experience of delivering process efficiencies and improvements
Clear and fluent English (both verbal and written)
Ability to build and maintain efficient working relationships with remote teams
Demonstrate ability to take ownership of and accountability for relevant products and services
Ability to plan, prioritize and complete your own work, whilst remaining a team player
Willingness to engage with and work in other technologies.
Life at CGI:
It 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 horizonsCome join our team, one of the largest IT and business consulting services firms in the world.
