Software Engineer

Womble Bond Dickinson (US) LLP seeks a Software Engineer to join our team. The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI systems across the Microsoft stack. The role spans full-stack application development, modern data platform engineering, and AI agent delivery — working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready solutions aligned to business and legal operations needs. The candidate may work remotely from any one of our Womble locations. Responsibilities Design, develop, and maintain web applications, APIs, and backend services using C#, .NET, Blazor, React, and TypeScriptBuild and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and DataverseDesign and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functionsIntegrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and BoomiArchitect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio — including document ingestion, vectorization, grounding, and prompt engineeringIntegrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance modelsImplement observability, telemetry, and exception reporting across applications, data pipelines, and AI systemsDocument data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainabilityParticipate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategyUse Git and Azure DevOps for version control, release management, and collaboration Requirements Strong proficiency in C# and .NET for application and backend service development Hands-on experience with Blazor, React, and TypeScript for modern web development5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise requiredExperience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integrationProven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworksPractical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governanceFamiliarity with medallion architecture, dimensional modeling, and enterprise data warehouse designUnderstanding of data governance, security, and compliance in a legal contextExperience with low-code/no-code platforms including Microsoft Power Platform Proficiency with Git and Azure DevOpsAbility to explain technical decisions, AI behavior, and data architecture to non-technical stakeholdersBachelor's degree in Computer Science or equivalent experience Compensation: The national average salary range for this role is $72,000 - $121,000. Starting salary will be determined based on location, qualifications, and experience. Candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate. This position is subject to export control laws. Benefits Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays