Tech Lead
HybridWilmington, Delaware, United States
Job Summary
Design, build, and maintain scalable, secure .NET applications using C# and modern web frameworks like Blazor or React. Provide technical leadership and architectural guidance for cloud-native services, APIs, and enterprise platforms while driving engineering best practices, code quality, and CI/CD adoption. Mentor engineers and champion AI-assisted development, AI-enabled solutions, and agentic patterns to improve productivity and business outcomes. Leverage Large Language Models, RAG architectures, and Azure AI Foundry to implement intelligent workflows and governance controls. Collaborate with global cross-functional teams to deliver complex initiatives in the Global Trust and Agency domain.
Required Qualifications
- 8+ years of experience designing and developing enterprise applications using C# and .NET technologies, including experience leading complex software initiatives
- Strong expertise in software architecture, object-oriented design, modern web development frameworks (Blazor, React, Angular, or Vue), and cloud-native application development
- Extensive experience with Entity Framework Core, SQL Server, application performance optimization, Git, CI/CD pipelines, and Agile delivery practices
- Practical experience leveraging AI-assisted development tools and implementing AI-enabled applications, intelligent workflows, or agentic solutions
- Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns
- Hands-on experience designing and delivering AI-enabled products, intelligent workflows, and enterprise AI solutions
- Experience building AI agents that support software development, testing, quality engineering, security, operational automation, or business processes
- Strong knowledge of Azure AI Foundry, Azure OpenAI Service, and modern AI/ML ecosystems
- Proven ability to establish and scale AI-augmented software development life cycle (SDLC) practices with measurable business outcomes
- Experience evaluating AI-generated outputs, implementing governance controls, and mitigating AI-related risks
- Ability to provide technical leadership and strategic guidance on AI adoption and innovation initiatives
Desired Qualifications
- Experience with Azure Functions, Docker, Kubernetes, MediatR, Clean Architecture, CQRS, Fluxor, Polly, Playwright, and related modern engineering frameworks and practices
- Expertise with Playwright for UI, API, integration, and database testing
- Experience with performance engineering and testing tools such as Artillery, JMeter, K6, or Locust
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