NICE - Senior Software Architect

• · Owning the architecture, and carrying out design, AI-led implementation and validation in Cloud-based, multi-threaded, multi-server environments -working in our AI-led delivery method where code, tests and decisions are AI-drafted, with you setting intent, orchestrating implementation, and validating outputs. • · Leading technical decisions on architectural direction using a collaborative, team-based approach. • · Ensuring the architecture takes into account the concerns of security, scalability, compatibility, maintainability — and the responsible, evidenced use of AI in both build-time and run-time. • · Performing testing of your work, fixing defects, and helping to resolve customer support cases. • · Ensuring that the team adheres to the architectural direction and standards. • · Mentoring and coaching team members in architecture practices, AI-led delivery techniques, and the discipline of validating AI outputs. • · Liaising with Product Management during planning sessions. • Have you got what it takes? • Solid experience developing applications in C# using Visual Studio/Visual Studio Code. • Proven track record of breaking down complex market requirements into secure, scalable and resilient system designs. • Experience with multi-tenant cloud solutions. • Experience working in collaborative multidisciplinary teams. • Experience creating maintainable code and using source control solutions such as DevOps, GIT or similar. • Experience of unit testing, code reviews, and other product quality disciplines. • Solid understanding of the principles of network security, authentication, and authorization. • Experience of working with databases using Entity Framework or similar. • Good knowledge of SOLID principles. • Experience creating RESTful APIs and ensuring API extensibility. • Recent practical experience using AI tooling (Copilot, Claude Code, Codex or equivalent) in your daily work, not just experimentation. Comfortable describing what worked, what did not, and what you decided. • Output discipline: you remain accountable for the architecture you are responsible for, whatever helped you produce it. • Comfort with probabilistic systems, and clear judgement about when to use AI in a high-trust domain. • Learning velocity: able to ramp on a new AI tool or technique in days, not months. • You will have an advantage if you also have: • You will have an advantage if you also have • Security best practice (OWASP top ten) • Azure SQL Server • DevOps, Pipelines, TeamCity, GitHub • Windows services • Experience using AI tooling specifically in the architect role - for design review, ADR drafting, threat modelling, contract design, or similar. • Familiarity with AI-Native software patterns (agentic workflows, evaluation harnesses, prompt-and-response evaluation, evidence packets).