We are looking for a hands-on .NET Solutions Architect who can design, lead, and deliver complex enterprise applications from initial business requirements through development, deployment, and production go-live.
This is not a pure architecture or advisory role. You must have personally led end-to-end technical delivery, working closely with developers, business stakeholders, and other technical teams to turn an architecture into a working production solution.
The platform uses Microsoft Azure, .NET, Angular, and AI technologies, including Azure OpenAI and AI agents.
DESCRIPTION
- Design the complete solution architecture for enterprise applications using Azure, .NET, Angular, & AI.
- Lead technical delivery from requirements and design through development, testing, deployment, & go-live.
- Design AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), RAG, and AI agents.
- Guide developers, review code, establish coding standards, and ensure the solution follows the approved architecture.
- Design integrations with ServiceNow, Azure DevOps, and other enterprise systems.
- Ensure applications are secure, scalable, reliable, and ready for production.
- Establish automated testing, security checks, and CI/CD deployment pipelines.
- Communicate technical decisions, manage trade-offs, and coordinate with business and technical stakeholders.
- Troubleshoot complex technical issues and ensure successful releases.
REQUIRED SKILLS
- 12+ years of software development experience, including 5+ years in a Technical Solutions Architect role.
- Proven experience leading at least one complex enterprise application from requirements through production go-live.
- Strong hands-on experience with C#, .NET / ASP.NET Core Web API, and SQL Server or Oracle.
- Experience designing modern web applications using Angular and TypeScript.
- Strong experience architecting and deploying solutions on Microsoft Azure.
- Real-world experience delivering AI-enabled applications using Azure OpenAI or Azure AI Services, including LLMs, RAG, or AI agents.
- Experience with APIs, microservices, enterprise integrations, and secure authentication.
- Experience with Azure DevOps, CI/CD pipelines, automated testing, and production deployment.
- Strong leadership, problem-solving, and communication skills.
PREFERRED SKILLS
- Docker and Kubernetes / AKS.
- Azure API Management, Microsoft Entra ID, OAuth 2.0, and OpenID Connect.
- Infrastructure as Code using Terraform or Bicep.
- ServiceNow integrations and enterprise workflow systems.
- AI coding assistants such as GitHub Copilot or Claude Code.
- Utility / energy industry experience or familiarity with NERC CIP and SOX compliance.
- Experience modernizing legacy .NET applications for the cloud.