Software Engineer III
About The Position
Works across all phases of software delivery—conceptual and detailed design, implementation, testing, and production deployment—on a large-scale enterprise insurance claims platform. Leads internal architecture discussions, collaborates with business analysts to clarify requirements and define technical deliverables, and contributes to the strategic direction of the software. Maintains current knowledge of market trends, including AI/ML and cloud-native patterns. The role includes architecting and delivering a multi-tier microservices platform for enterprise insurance claims processing, building web applications for claims management, working with MSSQL databases, and advancing DevOps practices. It also involves code reviews, establishing platform-wide coding conventions, and mentoring engineers. Additional experience with agentic AI workflows and Retrieval-Augmented Generation (RAG) services is preferred.
Nice To Haves
- Designed and built a custom agentic AI workflow engine supporting configurable multi-step AI reasoning pipelines, tool execution, memory scoping, verification steps, and structured output without hardcoded orchestration logic; applied to claims triage, coverage determination, and document analysis.
- Built and maintained a Retrieval-Augmented Generation (RAG) service backed by Azure AI Search for AI-assisted compensability and coverage determination, document data extraction, photo analysis, and automated notes summarization using Azure OpenAI.
Responsibilities
- Architect and deliver a multi-tier microservices platform for enterprise insurance claims processing, with 30+ ASP.NET Core Web APIs across Experience, Process, and System service layers.
- Build full-stack Blazor WebAssembly applications and React single-page applications for claims management portals serving adjusters, TPA users, and management teams.
- Write intermediate to advanced T-SQL queries and stored procedures, design database schemas across multiple MSSQL databases, and apply service-oriented architecture patterns.
- Advance DevOps maturity using Azure DevOps CI/CD pipelines, Docker containerization, and environment-stratified configuration management.
- Conduct code reviews to enforce quality standards, identify design issues, and develop team technical capability.
- Help define and document coding conventions adopted across the platform.
- Mentor junior and mid-level engineers through pair programming and architectural guidance.
- Develop GitHub Copilot onboarding guides and AI usage standards for developers and business analysts.
- Lead internal architecture discussions and collaborate with business analysts to clarify requirements and define technical deliverables.
- Contribute to the strategic direction of the software and maintain awareness of market trends, including AI/ML and cloud-native patterns.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
