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