Enterprise Digital & Agentic AI Architect

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Enterprise Digital & Agentic AI Architect (Product & Cloud Platforms)

Job Summary

We are seeking a highly experienced Enterprise Digital & AI Architect to lead the design and delivery of AI-first, cloud-native, product-centric platforms. This role focuses on building Agentic AI-driven enterprise ecosystems, modernizing legacy systems, and enabling scalable digital platforms across BSS/OSS and enterprise domains.

Key Responsibilities

Product & Architecture Leadership

• Define and drive end-to-end enterprise architecture vision across products, platforms, and AI systems
• Lead transformation from legacy systems to cloud-native, composable architectures
• Act as a trusted advisor to business, product, and engineering stakeholders
  
  

Agentic AI Architecture

• Design and implement Agentic AI solutions using:
• ADK (Agent Development Kit)
• A2A (Agent-to-Agent communication)
• MCP (Model Context Protocol)
• Build autonomous and semi-autonomous AI agents for enterprise use cases
• Integrate AI agents with enterprise platforms, APIs, and digital channels
  
  

Cloud & Integration

• Architect solutions on cloud platforms (Google Cloud Platform preferred, AWS/Azure acceptable)
• Design API-led, event-driven, and streaming architectures
• Define integrations across:
• CRM
• Order Management
• Billing
• Inventory
• Payments
• Identity systems
  

Digital Product Engineering

• Own architecture for B2C / B2B / B2B2X digital journeys
• Embed:
• AI-driven personalization
• Analytics & A/B testing
• Performance and scalability (SLOs)
  

Delivery & Execution

• Lead architecture workshops and solution design discussions
• Drive PoCs, pilots, and enterprise-scale AI implementations
• Collaborate with engineering, DevOps, data science, and platform teams
  
  

Governance & Quality

• Ensure solutions meet security, scalability, and performance standards
• Apply CBVA (Customer Business Value Architecture) for measurable outcomes
• Define architecture governance and best practices
  
  

Required Skills

Core Architecture

• 12 years in enterprise architecture, product engineering, and solution design
• Strong experience in:
• Distributed systems & cloud-native architecture
• BSS/OSS ecosystems
• Enterprise integration patterns
  

Agentic AI & GenAI

• Hands-on with:
• Agentic AI architectures
• ADK, MCP, A2A frameworks
• Google Agentic ecosystem (Gemini, Vertex AI)
• Experience designing:
• AI agents
• Intelligent workflows
• Autonomous systems
  

Cloud & Data

• Expertise in Google Cloud Platform (preferred), AWS, or Azure
• Experience with:
• Streaming (Kafka, Pub/Sub)
• Databases (SQL/NoSQL)
• Data-driven architectures
  

Integration & Standards

• API-led architecture, microservices, event-driven systems
• Knowledge of:
• TMF, MEF, ITIL, IETF, IEEE standards
  

Leadership Skills

• Strong stakeholder management
• Experience leading large, distributed teams
• Ability to balance strategy hands-on architecture
  
  

Preferred Skills

• Telecom domain experience (BSS/OSS)
• AI-driven analytics and automation use cases
• Experience with enterprise product platforms
  
  

Experience Required

• 12 years overall IT experience
• 5 years in product/enterprise architecture