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 (GCP 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 GCP (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