What are the responsibilities and job description for the Enterprise Digital & Agentic AI Architect (.NET, Cloud, BSS/OSS) position at Purple Drive Technologies LLC?
Enterprise Digital & Agentic AI Architect (.NET, Cloud, BSS/OSS)
Job Summary
We are looking for a highly experienced Enterprise Digital & AI Architect to lead the design and delivery of AI-first, cloud-native, product-centric platforms.
The ideal candidate will have strong expertise in .NET-based enterprise systems, Agentic AI architectures, and large-scale digital platforms (BSS/OSS), with the ability to drive modernization and innovation across enterprise ecosystems.
Key Responsibilities
Product & Architecture Leadership
- Define and drive end-to-end enterprise architecture vision
- Lead transformation from legacy systems to cloud-native platforms
- Act as a trusted advisor to business, product, and engineering teams
Agentic AI Architecture
- Design and implement Agentic AI solutions using:
- ADK (Agent Development Kit)
- MCP (Model Context Protocol)
- A2A (Agent-to-Agent communication)
- Build autonomous AI agents and integrate with enterprise systems
- Lead PoCs and production deployments of AI-driven solutions
Cloud & Integration
- Architect solutions on:
- Google Cloud Platform (preferred), AWS, or Azure
- Design:
- API-led architectures
- Event-driven systems
- Streaming platforms
- Integrate systems across:
- CRM, Billing, Order Management, Payments, Identity
Digital Product Engineering
- Own architecture for:
- B2C / B2B / B2B2X journeys
- Embed:
- AI-driven personalization
- Analytics and experimentation (A/B testing)
- Enable business automation using AI agents
Delivery & Execution
- Lead architecture workshops and solution design
- Collaborate with:
- Architects, developers, data scientists, DevOps teams
- Drive full lifecycle delivery (design deployment optimization)
Governance & Quality
- Ensure solutions meet:
- Performance
- Security
- Scalability standards
- Apply CBVA metrics to measure business value and ROI
Required Skills
Core Architecture
- 12-14 years of experience in:
- Enterprise architecture
- Product engineering
- Solution design
- Strong experience in:
- Distributed systems
- Cloud-native architecture
- BSS/OSS ecosystems
.NET (MANDATORY)
- Strong experience in:
- .NET / .NET Core
- Enterprise backend systems
- Experience integrating .NET applications with cloud and APIs
Agentic AI & GenAI
- Hands-on experience with:
- Agentic AI frameworks (ADK, MCP, A2A)
- AI agents / intelligent systems
- Knowledge of:
- Google AI ecosystem (Gemini, Vertex AI)
Cloud & Data
- Expertise in:
- Google Cloud Platform (preferred), AWS, Azure
- Experience with:
- Streaming (Kafka, Pub/Sub)
- Data platforms
Integration & Architecture
- Strong experience in:
- API-led architecture
- Microservices
- Event-driven systems
Preferred Skills
- Telecom / BSS / OSS domain experience
- CBVA framework exposure
- Experience with enterprise digital platforms
Experience Required
- 12-14 years of experience
- Proven experience in architecture leadership roles