AI Solution Engineer

Responsibilities

• Work with business stakeholders and users to understand workflows, clarify assumptions, assess data availability, and agree measurable acceptance criteria for AI capabilities
• Turn agreed requirements into buildable specifications covering inputs, outputs, data contracts, business rules, failure paths and validation scenarios
• Design and implement AI services and integrations using C#, .NET, ASP.NET Core and Azure, making technical decisions within agreed architectural constraints
• Integrate models, enterprise data, and APIs into applications; implement retrieval-augmented generation and controlled agent workflows where appropriate, with clear human review and fallback paths
• Build focused prototypes to test feasibility and assumptions, then develop validated capabilities into maintainable production services
• Use AI coding agents against explicit specifications; review generated code, test behavior, diagnose failures and refine specifications or implementations based on evidence
• Define evaluation datasets and quality thresholds; validate output quality, security, latency and cost, and work with users to confirm the capability improves the intended workflow
• Implement CI/CD, automated testing, infrastructure as code, deployment, monitoring, and rollback; manage model and prompt versions and investigate production issues
• Address access control, sensitive data handling, prompt injection and unreliable outputs; document limitations, operating procedures and design decisions
• Explain technical trade-offs and operating costs, surface risks early and provide implementation guidance and code reviews while keeping delivery within the agreed scope

Languages