Agentic AI Engineer

Agentic AI Engineering

• Design and build end-to-end agentic AI workflows using Microsoft AI Foundry and Copilot Studio, including multi‑step agent pipelines capable of autonomous decision‑making, tool use, and task delegation.
• Architect and deploy multi‑agent systems using orchestration frameworks such as Lang Graph, Auto Gen, Semantic Kernel, and CrewAI, evaluating fit‑for‑purpose based on use‑case complexity and enterprise constraints.
• Implement Retrieval‑Augmented Generation (RAG) pipelines incorporating vector databases, semantic search, and knowledge‑graph integrations to ground agent outputs in verified organisational data.
• Develop and maintain a structured prompt library applying advanced prompting techniques—including chain‑of‑thought, few‑shot, self‑reflection, and ReAct patterns—to optimise agent behaviour across diverse business scenarios.
• Build and integrate Model Context Protocol (MCP) servers to enable agents to interact with internal tools, APIs, databases and enterprise systems in a controlled and auditable manner.
• Automate end‑to‑end job functions across business units including procurement workflows, member services interactions, regulatory reporting, HR task management, document processing, and internal knowledge retrieval.
• Develop AI‑powered report generation capabilities that allow agents to autonomously retrieve data, structure findings and produce formatted outputs for business audiences without manual intervention.
• Design agent memory architectures managing short‑term conversational context and long‑term persistent memory stores to enable coherent stateful interactions across sessions.
• Build and maintain agent evaluation frameworks measuring accuracy, reliability, hallucination rates, task completion and safety compliance, iterating on agent design based on quantitative outcomes.
• Establish guardrails, content filters and human‑in‑the‑loop checkpoints to ensure responsible and auditable AI agent behaviour in production environments.
• Implement LLMOps practices including model versioning, prompt version control, agent monitoring, cost tracking and performance observability using tools such as Azure AI Foundry, Lang Smith or equivalent platforms.
• Integrate agents with enterprise systems including SharePoint, Microsoft Teams, Dynamics
  365 and third‑party APIs to enable seamless automation across operational workflows.
• Contribute cross‑platform knowledge by evaluating and piloting emerging agentic AI tools and frameworks from across the market, ensuring the organisation adopts best‑in‑class approaches rather than remaining constrained to a single vendor ecosystem.

• Develop and maintain scalable data pipelines using Azure Data Factory, Microsoft Fabric and Synapse Analytics to ensure agentic systems have reliable access to clean, structured and contextually relevant data.
• Write production‑grade Python and PySpark code for data transformation, orchestration and integration tasks in support of both AI and analytical workloads.
• Implement and manage Power Automate flows to connect agentic AI outputs to downstream business processes, notifications and approval workflows.
• Build and maintain vector stores and embedding pipelines using Azure AI Search, Cosmos DB or equivalent technologies to support RAG and semantic retrieval use cases.
• Collaborate with the Data Engineering team to ensure data quality, lineage and governance standards are upheld across all datasets consumed by AI agents.
• Support the integration of structured and unstructured data sources into agent‑accessible knowledge layers, including document repositories, databases and real‑time event streams.

• Bachelor's degree or higher in Computer Science, Data Engineering, Artificial Intelligence or a related technical discipline.
• Demonstrable experience building and deploying agentic AI systems in a production environment, including multi‑agent orchestration and autonomous task execution.
• Strong proficiency in Python, including object‑oriented design, API development and integration with AI and data libraries.
• Hands‑on experience with Microsoft AI Foundry, Azure OpenAI Service and Copilot…