AI Developer

Role Overview

• 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.
• Design and implement secure and accountable data access patterns for enterprise knowledge sources, including SharePoint, Azure SQL, and Blob Storage.
• 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.
• Follow secure‑by‑design practices, including identity and access management (Entra ID), secrets management (Key Vault), and least‑privilege access.
• Partner with security and compliance teams to ensure AI solutions align with enterprise policies and regulatory requirements common in the utilities and energy sector.
• 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.

Requirements

• Experience building software solutions using Azure, including at least one of the following: Functions, App Service, Storage, SQL, or API Management.
• Hands‑on development experience with Azure DevOps and/or GitHub, including pull request workflows, branching strategies, issue tracking, and CI/CD.
• Experience developing AI‑driven applications, including at least one of the following: Copilots, chatbots, or conversational user experiences
• Retrieval‑based solutions (RAG) and enterprise search
• Prompt engineering and prompt or version management
• Tool/function calling or agentic workflows
• Ability to work with REST APIs and integrate AI solutions with enterprise systems.
• Strong software engineering fundamentals, including data structures, API design, testing, and troubleshooting.
• Clear communication skills with the ability to explain AI concepts to both technical and non‑technical audiences.

Tech Stack

• Azure
• SQL
• Vault

Benefits

• financial, social, health and wellbeing programs
• paid vacation
• 401k matching
• employee stock purchase program
• hybrid work schedule