Senior Specialist - Data Sciences

Senior 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