Principal Engineer (Mendix + java)

Requirements

• Experience : 11 years
• Strong experience in enterprise application development architecture and technology solutioning with at least 5 years of experience on Microsoft Power Platform
• Strong hands-on expertise in Power Apps Power Automate Power Pages Dataverse and enterprise Power Platform architecture
• Mandatory experience with Copilot Studio including enterprise copilot design orchestration and implementation
• Proven experience embedding Generative AI and AI-in-ADLC practices across enterprise application delivery lifecycles
• Deep expertise in prompt engineering prompt lifecycle management grounding strategies and AI solution architecture
• Strong experience delivering large-scale enterprise-wide Power Platform transformation programs
• Expertise in Power Platform ALM DevOps practices CI/CD pipelines and cloud-native deployment models
• Strong understanding of enterprise architecture principles governance frameworks scalability and security best practices
• Hands-on integration experience with Dynamics 365 SAP Salesforce ServiceNow Azure services REST APIs and enterprise integration patterns
• Experience with Azure AI services Azure OpenAI AI Builder and AI-powered enterprise automation solutions is highly preferred
• Strong understanding of identity management OAuth2 SSO Entra ID DLP policies compliance and enterprise security frameworks
• Experience designing reusable components accelerators and AI governance frameworks for enterprise adoption
• Strong presales and client engagement experience including RFP strategy solution creation estimations demos and executive presentations
• Ability to engage with CxOs enterprise architects business stakeholders and delivery leaders in strategic transformation discussions
• Exposure to multi-cloud environments including Azure AWS or GCP is an added advantage
• Knowledge of composable enterprise architecture domain-driven design and AI-driven automation strategies is preferred
• Prior experience establishing Power Platform or AI Centres of Excellence in enterprise environments is desirable
• Excellent communication stakeholder management leadership and mentoring capabilities
• Strong analytical problem-solving and innovation-driven mindset with ability to drive measurable business outcomes through AI-enabled solutions

Responsibilities

• Design and architect enterprise-grade AI-first solutions on Microsoft Power Platform including Power Apps Power Automate Power Pages Dataverse and Copilot Studio
• Define scalable and secure architecture patterns for Generative AI conversational agents intelligent workflows AI plugins and enterprise copilots
• Lead end-to-end Copilot Studio implementations including topic design orchestration plugin architecture grounding strategies and enterprise integrations
• Drive AI-in-ADLC initiatives including AI-assisted requirement analysis prompt-driven solution design AI-supported development testing and documentation
• Define and enforce architecture standards reusable frameworks accelerators and governance models across Power Platform and AI programs
• Translate functional and non-functional requirements into scalable solution blueprints with strong focus on security performance availability and maintainability
• Design robust integration architectures with Dynamics 365 SAP Salesforce ServiceNow Azure services REST APIs and event-driven enterprise systems
• Establish prompt engineering standards including role prompts system prompts evaluation frameworks grounding strategies and hallucination mitigation approaches
• Drive responsible AI practices covering compliance security data privacy governance and ethical AI adoption
• Evaluate and onboard emerging Microsoft AI capabilities including Azure OpenAI AI Builder Copilot extensibility and related AI services
• Lead architecture reviews performance tuning and governance activities for Power Platform and AI-enabled solutions
• Define and implement enterprise security architecture covering Entra ID OAuth2 SSO DLP tenant isolation compliance and auditability
• Establish lifecycle governance versioning deployment standards and monitoring frameworks for AI-powered applications
• Mentor and guide architects technical leads and developers in AI-native solutioning and enterprise Power Platform best practices
• Build competency development programs and certification pathways for Power Platform Copilot Studio and Azure AI capabilities
• Drive adoption of DevOps ALM CI/CD and AI-assisted engineering practices across programs
• Lead AI-focused presales engagements including solutioning estimations proposals PoCs demonstrations and executive presentations
• Conduct client architecture walkthroughs solution defense discussions and CxO-level technology advisory sessions
• Partner with Microsoft and ecosystem partners to strengthen AI-powered Power Platform offerings and go-to-market initiatives
• Establish and lead Power Platform and Copilot Centre of Excellence initiatives including governance accelerators reusable assets and AI adoption roadmaps
• Define and execute practice-level strategies for AI-enabled Power Platform transformation programs and enterprise modernization initiatives

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time