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 Off/Vacation, Firm Paid Holidays
