AI Developer

Solution Development & Delivery

• Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customer-centric outcomes.
• Develop and configure copilots using Copilot Studio, including topics, actions, plugins/connectors, and inclusive conversation design.
• Implement AI integration patterns such as retrieval-augmented generation (RAG), tool/function calling, and agent-based workflows into applications and internal tooling.
• Create and maintain API services (for example, Azure Functions, App Service, and containerized services) to expose AI capabilities to enterprise business systems.
• Create and maintain secure and accountable data access patterns for enterprise knowledge sources, including SharePoint, Azure SQL, and Blob Storage.

DevOps, GitHub & Engineering Excellence

• Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies, and release management in a collaborative and agile environment.
• Build CI/CD pipelines that support automated testing, security scanning, and deployments to Azure.
• Apply engineering best practices, including unit and integration testing, telemetry, error handling, performance tuning, and clear documentation.

Security, Compliance & Governance

• Follow secure-by-design practices, including identity and access management (Entra ID), secrets management (Key Vault), and least-privilege access.
• Support responsible AI and governance requirements, including logging, auditing, evaluation, content safety, and prompt and security guardrails.
• Partner with security and compliance teams to ensure AI solutions align with enterprise policies and regulatory requirements common in the utilities and energy sector.

Collaboration & Stakeholder Engagement

• Translate business needs into AI solution designs, user stories, and technical delivery plans that are practical and measurable.
• Work cross-functionally with product, engineering, and business partners to define success metrics, validate outcomes, and iterate based on feedback and analytics.
• Provide guidance and enablement to teams adopting Copilot Studio and Azure AI Foundry patterns, fostering shared ownership and continuous learning.