Specialist - Data Sciences

AI Prompt Engineer Agentic AI Engineer Role Summary The resource will support the design development and delivery of Agentic AIsolutions by creating optimizing and managing AI prompts agent workflows and MCPintegrated tools The role will focus on enabling intelligent AI agents capable of autonomous reasoning task orchestration tool utilization and workflow execution across enterprise applications Key Responsibilities Design develop and optimize prompts for Large Language Models LLMs to improve accuracy reliability and business outcomes Build and configure Agentic AI solutions that leverage planning reasoning memory and multistep task execution capabilities Develop and integrate MCP Model Context Protocol tools enabling AIagents to securely discover and interact with enterprise systems APIs and data sources Design agent architectures toolcalling frameworks retrieval mechanisms and context management strategies Collaborate with product managers architects and engineering teams to translate business requirements into AIdriven solutions Implement RetrievalAugmented Generation RAG knowledge grounding and context orchestration patterns Define evaluation frameworks and prompt testing methodologies to measure agent performance quality and reliability Ensure AI solutions adhere to security compliance governance and responsible AI standards Support deployment monitoring troubleshooting and continuous improvement of AI agents and MCPenabled workflows Contribute to architecture reviews technical design documentation and engineering best practices for AI platforms Required Skills Experience with Large Language Models OpenAI Azure OpenAI Anthropic Gemini or equivalent Strong understanding of prompt engineering AI agent frameworks and conversational AI systems Experience building Agentic AI applications using Semantic Kernel LangChain LangGraph AutoGen CrewAI or similar frameworks 
 Handson experience with MCP servers tool integration API orchestration and enterprise system connectivity 
 Proficiency in Python TypeScript or similar programming languages 
 Familiarity with RAG architectures vector databases embeddings and knowledge retrieval systems 
 Understanding of cloud platforms such as Azure AI Foundry Azure OpenAI AWS Bedrock or Google Vertex AI 
 Strong problemsolving analytical and collaboration skills 
 Preferred Qualifications 
 Experience building enterprise copilots AI assistants or autonomous agent ecosystems 
 Knowledge of AI governance responsible AI and security best practices 
 Experience integrating AI agents with healthcare health records or regulated industry systems