IN_Senior Associate_AI/Agentic Platform_GCC_Advisory_Hyderabad

1. Multi-Cloud Architecture & Implementation

• Design and architect scalable, cloud-native solutions on Azure (primary) and AWS (secondary)

• Implement microservices and serverless architectures: Azure Functions / AWS Lambda, API Gateway, Container Instances

• Deploy and managecontainerizedworkloads using Docker, Kubernetes (AKS / EKS), and Helm

• Design event-driven, async architectures using cloud messaging services (Azure Event Hub, AWS SQS/SNS, Apache Kafka)

• ImplementIaCusing Terraform (primary) or CloudFormation/ARM for repeatable, auditable deployments

2. Agentic AI Solutions Development

• Design and build intelligent agentic systems that automate multi-step workflows and autonomous decision-making

• Architect and implement multi-agent systems: task decomposition, specialist sub-agents, orchestrator/supervisor patterns, swarm coordination

• Implement RAG (Retrieval-Augmented Generation) pipelines: document ingestion, chunking, embedding, vector retrieval, re-ranking, response synthesis

• Integrate and abstract multiple LLM providers: Azure OpenAI, OpenAI, Anthropic Claude, in a provider-agnostic pattern

• Design structured output and function/tool calling patterns for reliable agent-to-system interactions

• Build agent memory architectures: short-term (in-context), long-term (vector store / relational), episodic (session history)

• Evaluate agent and LLM quality: implement RAGAS,LangSmith,PromptFlow, or custom evaluation harnesses in CI/CD

• Apply prompt engineering best practices: chain-of-thought, structured prompting, output constraints, guardrails

• Implement agentic workflows usingLangChain,AutoGen,CrewAI, or similar - with a view to platform-specific integration (Oracle Agentic Studio, Semantic Kernel)

3. Cross-Platform Enterprise Integration

• Build integrations between agentic systems and Oracle ERP/HCM, Pega, and ServiceNow platforms via REST APIs, webhooks, and event streams

• Understand and guide RPA-to-Agentic process migration: redesigning UiPath / RPA workflows as autonomous, intelligent agents

• Manage vector databases and knowledge store integrations: Pinecone, Chroma,Weaviate,pgvector, Azure AI Search

• Design API gateway patterns to route agent invocations across heterogeneous enterprise systems

4. Backend Development with Python

• Develop robust production backend services using Python andFastAPI(primary) Flask for lightweight APIs

• Build RESTful and event-driven APIs with async/await patterns (asyncio,aiohttp)

• Implement SQL and NoSQL database solutionsoptimizedfor agentic workloads (query performance, vector indexing)

• Write clean, tested, and documented code -pytestcoverage, type hints, linting (ruff,mypy), CI enforcement

5. DevOps & Infrastructure

• Set up andmaintainCI/CD pipelines with agent evaluation gates (Azure DevOps, GitHub Actions)

• Monitor, log, andoptimizecloud infrastructure and agent system performance

• Manage secrets, RBAC, and HIPAA-aligned security compliance across cloud environments

6. Collaboration & Delivery

• Work with PGC healthcare stakeholders, domain SMEs, and cross-functional delivery teams

• Mentor junior engineers and support cross-skilling of UiPath engineers to Agentic AI delivery

• Document architecture decisions, agent design patterns, and solution specifications

• Contribute to discovery, ROI modelling, and business case development for new agentic use cases