Job title : Senior AI Engineer (Microsoft Stack) / AI Lead
Location : WFH, India
Experience : 10 to 15 years
About the Role :
We are looking for an experienced Senior AI Engineer / AI Lead to design, develop, and implement advanced AI solutions within the Microsoft ecosystem. The ideal candidate will have hands-on expertise in Microsoft Azure AI Foundry, Copilot Studio, Power Platform AI integrations, and RAG-based architectures. This role involves leading AI-driven innovation, mentoring teams, and delivering enterprise-grade AI solutions for large-scale business applications.
Key Responsibilities :
AI Solution Design & Development :
- Architect and develop AI-driven applications leveraging Azure AI Foundry and Copilot Studio.
- Implement RAG (Retrieval Augmented Generation) solutions for enterprise use cases.
- Build and customize Microsoft Copilots across M365, Dynamics 365, and Power Platform.
- Develop custom connectors, plugins, and AI workflows for Power Apps and Power Automate.
Integration & Deployment :
Integrate AI services with Microsoft ecosystem components such as Dataverse, SharePoint, Teams, and Dynamics 365.Optimize prompt engineering, fine-tuning of large language models (LLMs), and AI orchestration for performance and security.Implement secure API integrations with external systems.AI Governance & Compliance :
Ensure responsible AI practices in alignment with Microsoft Responsible AI Framework.Apply data security, privacy, and compliance standards in AI deployments.Leadership & Mentoring :
Lead AI solution development teams, provide technical guidance and code reviews.Collaborate with business stakeholders to translate requirements into scalable AI solutions.Drive best practices for AI model lifecycle management, MLOps, and CI / CD pipelines.Required Skills & Experience :
7+ years in software development with at least 3+ years in AI solution development.
Hands-on experience with :
Microsoft Azure AI Foundry and Azure OpenAI Service.Copilot Studio and building custom copilots.Power Platform AI capabilities (AI Builder, Power Virtual Agents).RAG architectures, vector databases, and prompt engineering.Strong knowledge of :
C#, .NET, PowerShell, Python for AI integrations.Microsoft Azure ecosystem (Azure Functions, Logic Apps, Data Lake).Data engineering and integration within Microsoft Dataverse.Familiarity with AI security, compliance, and responsible AI practices.Preferred Qualifications :
Microsoft certifications like :
AI-102 : Designing and Implementing an Azure AI SolutionAny other AI Certification is highly preferredExperience implementing enterprise Copilot solutions in M365 or Dynamics 365.Exposure to GenAI use cases in enterprise environments.Soft Skills :
Strong problem-solving and analytical skills.Excellent communication and stakeholder management.Ability to lead and mentor teams in a collaborative environment.(ref : hirist.tech)