Core AI & Agentic AI Skills

- Generative AI (Gen AI) solution design and delivery
- Agentic AI architecture and implementation
- Large Language Models (LLMs) and AI-powered applications
- Agentic AI frameworks:
- LangChain
- LangGraph
- Semantic Kernel

- Machine Learning (ML) architecture and deployment
- Enterprise AI/ML solution architecture

Cloud & AI Platforms

- Azure AI Services
- Azure OpenAI Service
- OpenAI technologies
- Multi-cloud experience:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)

Solution Architecture & Deployment

- Enterprise Architecture
- End-to-end AI solution delivery (PoC to Production)
- AI model deployment at scale
- Reusable AI assets, accelerators, and frameworks development
- AI Governance, Responsible AI, and Compliance
- AI Security and Data Privacy

Engineering & DevOps

- CI/CD pipelines
- Docker
- Kubernetes
- Microservices Architecture
- Production-grade AI application deployment
- MLOps / LLMOps (strongly implied)





Leadership & Stakeholder Management

- Technical leadership of AI teams
- Architecture governance
- Client-facing solution delivery
- Stakeholder management
- Cross-functional team leadership
- Business requirement translation into AI solutions
- Mentoring architects and engineering teams

Domain & Business Knowledge

- Enterprise-scale digital transformation
- Industry use cases involving:
- SAP
- Salesforce
- Finance
- Supply Chain

- Business Services / Shared Services environments

Experience Requirements

- Master's degree in Computer Science, Engineering, Data Science, or related field (PhD preferred)
- 6+ years in Enterprise Architecture and Solution Delivery
- Proven experience designing and deploying AI solutions at scale
- Experience managing large AI programs and cross-functional teams

📌 Agentic AI Architect/Lead - PAN Location (Telangana)
🏢 Capgemini
📍 Telangana