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 TypeScript

Build and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse

Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2

Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functions

Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and Boomi

Architect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio — including document ingestion, vectorization, grounding, and prompt engineering

Integrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance models

Implement observability, telemetry, and exception reporting across applications, data pipelines, and AI systems

Document data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainability

Participate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategy

Use 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 development

5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise required

Experience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integration

Proven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworks

Practical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governance

Familiarity with medallion architecture, dimensional modeling, and enterprise data warehouse design

Understanding of data governance, security, and compliance in a legal context

Experience with low-code/no-code platforms including Microsoft Power Platform

Proficiency with Git and Azure DevOps

Ability to explain technical decisions, AI behavior, and data architecture to non-technical stakeholders

Bachelor'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 Of