A large, technology-focused enterprise is seeking a Senior-level Software Engineer who can architect and build intelligent, production-grade solutions. This is a hands-on role for someone comfortable operating at depth; not just experimenting with models, but deploying secure, explainable AI features into live enterprise environments.Here's how you'll be adding value: Integrating AI capabilities into established enterprise platforms Design and ship secure, scalable, cloud-native applications Improve ops efficiencies (automation, intelligent agents, etc.) Balance innovation with governance, compliance and risk awareness Contribute to distributed architectures using APIs and Microservices Key requirements: 5+ years in software engineering (.NET / C# + other OOP languages) At least 2 years practical exposure to AI implementation Solid frontend capability (Blazor) Cloud-native deployment experience (AWS, Azure) DevOps fluency; GitHub, Azure DevOps, Docker, YAML-driven pipelines RESTful API design and integration Solid CI/CD, automated testing & secure coding standards experience Experience deploying AI-powered features into production Know-how in using of AI for development acceleration, automation, etc. Exposure to regulated or governance-heavy industries is beneficial This isnt a theoretical AI role. The ideal Software Engineer must have experience in the afore-mentioned. We'd like to discuss this further if you're open to work and the above is in line with your skills, competencies, qualifications and experience.