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We are seeking an experienced AI Consultant & Engineer who will lead our organization and clients on a transformative Agentic AI adoption journey, with a strong alignment to the Microsoft AI ecosystem. In this role, you will design and implement AIdriven solutions that enhance and automate operations across Azure Cloud Services, Integration Services, Database Platforms, and enterprise applications.This role is ideal for someone who understands both the strategic and handson engineering aspects of AI, including modern LLMbased architectures, copilots, and autonomous agents.
Job Responsibility:
Develop AI adoption roadmaps for enterprises, emphasizing ROI, maturity, and operational alignment
Help in creating strategy for Conducting AI readiness assessments, including data quality, governance, security, and change management
Advise teams on emerging AI capabilities, Agentic AI use cases, and Microsoft AI roadmap
Design, build, and deploy Agentic AI solutions using frameworks such as Semantic Kernel, Azure OpenAI Function Calling, Orchestration frameworks (AutoGen, Prompt Flow, LangChain)
Implement autonomous or semiautonomous AI agents for workflows such as Research & summarization, Document processing, Process automation, Policy & compliance automation, Customer and employee experience bots
Integrate agents with enterprise systems via Graph API, connectors, and custom plugins
Implement AI solutions using Azure OpenAI Service, Microsoft Copilot Studio, Microsoft Fabric, Azure Machine Learning & AI Studio, Azure Search / Cognitive Search, Azure Functions, APIM, Logic Apps
Implement Microsoft’s Responsible AI guidelines and compliance controls
Architect solutions to meet enterprise security requirements: Data boundaries, Information protection, Zero Trust, Logging & auditing
Ensure models are evaluated for fairness, safety, hallucinations, performance, and alignment
Work with different service team Integration, Cloud Ops and help them in AI adoption
Train teams on Copilot adoption, prompt engineering, and change management
Support PoCs, and team workshops as a technical AI expert
Requirements:
8 - 13 years of experience
Experience in AI adoption roadmaps for enterprises, emphasizing ROI, maturity, and operational alignment
Experience in AI readiness assessments, including data quality, governance, security, and change management
Knowledge of emerging AI capabilities, Agentic AI use cases, and Microsoft AI roadmap
Experience designing, building, and deploying Agentic AI solutions using frameworks such as Semantic Kernel, Azure OpenAI Function Calling, Orchestration frameworks (AutoGen, Prompt Flow, LangChain)
Experience implementing autonomous or semiautonomous AI agents for workflows such as Research & summarization, Document processing, Process automation, Policy & compliance automation, Customer and employee experience bots
Experience integrating agents with enterprise systems via Graph API, connectors, and custom plugins
Experience implementing AI solutions using Azure OpenAI Service, Microsoft Copilot Studio, Microsoft Fabric, Azure Machine Learning & AI Studio, Azure Search / Cognitive Search, Azure Functions, APIM, Logic Apps
Experience building Retrieval-Augmented Generation (RAG) solutions using enterprise SharePoint, OneDrive, SQL, Azure Storage, Azure Integration Services
Experience implementing Microsoft’s Responsible AI guidelines and compliance controls
Experience architecting solutions to meet enterprise security requirements: Data boundaries, Information protection, Zero Trust, Logging & auditing
Experience ensuring models are evaluated for fairness, safety, hallucinations, performance, and alignment
Experience training teams on Copilot adoption, prompt engineering, and change management
Experience supporting PoCs, and team workshops as a technical AI expert