• Designing, building, and maintaining integrations using Azure Integration Services, including Logic Apps, ADF, Service Bus, Event Grid, and API Management. • Developing API-based, event-driven, and batch integration solutions aligned with enterprise architecture standards. • Creating reusable integration components and contributing to a scalable integration catalogue. • Supporting testing activities, troubleshooting issues, and ensuring high-quality delivery. • Implementing monitoring, logging, and error-handling capabilities to ensure reliability. • Working with CI/CD pipelines and DevOps practices to automate deployments. • Collaborating with architects, internal teams, and external vendors to deliver business-critical solutions. • Supporting governance, security, and platform standards across the integration landscape. • Participating in Agile ceremonies, code reviews, and continuous improvement initiatives.

• Senior Architect for the Public Cloud team • Mentoring and managing Architects in the team • Drive the application architecture solution design • Engage with clients to understand their needs and present solutions • Craft compelling proposals and responses to requests for information (RFIs) and requests for proposals (RFPs) • Work closely with sales, marketing, and delivery teams • Stay up-to-date with industry trends and emerging technologies • Track and report on presales activities and outcomes

• Lead deployments of self-managed, Kubernetes-based environments across on-prem and cloud infrastructures. • Guide customers through environment readiness, hardware sizing, networking, and configuration requirements. • Install and configure operators, licenses, and supporting platform components. • Partner with Product, Engineering, and Professional Services to clarify requirements, success criteria, and deployment patterns. • Plan and execute PoCs, including scoping, milestones, communication cadence, and technical validation. • Conduct architecture reviews focused on scalability, reliability, security, and operational best practices. • Troubleshoot installation, orchestration, and runtime issues across Kubernetes, containers, and distributed systems. • Develop and maintain deployment guides, runbooks, reference architectures, and best-practice documentation. • Support customer demos and technical walkthroughs using real or representative datasets. • Manage expectations around performance, reliability, and operational boundaries throughout the engagement lifecycle. • Maintain clear engagement plans, status updates, and decision logs to ensure alignment across teams.

• Seeking an AI Solution Engineer to leverage .NET and Cloud environment AI-assisted delivery: Coding in a Copilot/GenAI driven environment • Will perform solution architecture, orchestration, and validation versus hands-on coding • Strengthen GenAI responsibilities: Responsible for LLM, prompt engineering, and MLOps content, positioned as core • Designing AI-driven workflows, evaluating model outputs, and ensuring reliability and compliance • Reviewing .NET code for integration layers, APIs, and enterprise patterns • Accelerating delivery using AI tools (Copilot, code generation, test automation, etc.) • Defining AI usage patterns, guardrails, security, and compliance • Writing highly complex design, coding and testing documentation • Providing technical consulting on highly complex projects • Leading and mentoring a team of technical professionals