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.
