Data Engineer

SUMMARY:
The AI Engineer will design, build, and deploy scalable AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry, with the objective of automating business processes, accelerating delivery of AI use cases, and improving operational efficiency across the business

The role requires strong engineering capability across agent-based architectures, generative AI, and enterprise data integration, while ensuring adherence to established standards, governance, and best practices.

POSITION INFO:
Solution Design & Engineering Design and implement AI-powered agents and copilots using Copilot Studio. Develop advanced AI solutions and orchestration pipelines using Azure AI Foundry. Build hybrid architectures combining Copilot Studio (front-end interaction) and Foundry (backend intelligence). Implement multi-step reasoning workflows and agent orchestration for complex use cases. Data Integration & AI Enablement Integrate AI solutions with enterprise systems using: APIs, connectors, and microservices Data platforms (e.g., enterprise data lakes, SQL, graph DBs) Develop and optimise Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge use cases. Agent Development & Deployment Build and deploy scalable AI agents across business domains. Enable multi-channel deployment (e.g., Microsoft Teams, Power Platform). Ensure robust testing, validation, and performance optimisation prior to production release. Governance, Quality & Standards Apply best practices across: Security (RBAC, managed identities, Key Vault) Data governance and compliance Responsible AI and risk mitigation Conduct peer reviews on solution design and code and guide team adoption of standards. Performance Optimisation & Monitoring Optimise model usage, cost, and response accuracy. Implement observability (logging, monitoring, tracing). Diagnose and resolve issues across Copilot-Foundry integrations. Coaching & Enablement Mentor squad members and facilitate knowledge transfer. Support capability uplift across the AI squad and broader CIB community. Contribute to reusable patterns, frameworks, and playbooks. Experience & Qualifications Mandatory Experience 1-3 years hands-on experience in: Microsoft Copilot Studio Microsoft Azure AI Foundry Other AI Tools \/ Platforms Proven experience building and deploying AI\/ML or generative AI solutions Experience in agent-based architectures or conversational AI Technical Skills Programming: Python (preferred), API integration AI\/LLM capabilities: Prompt engineering RAG pipelines Model evaluation and tuning Cloud & Data: Microsoft Azure ecosystem Data integration (SQL, APIs, data lakes) Tooling: GitHub, CI\/CD pipelines, DevOps practices \/ SAFe \/ Agile Key Competencies Strong problem-solving and analytical thinking Ability to design scalable, production-grade AI solutions Excellent communication and stakeholder engagement Commitment to quality, governance, and standards Continuous learning mindset in emerging AI technologies