Principal Engineer (Mendix + java)

Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
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
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Service Region: South Asia