We are seeking an experienced Lead AI Engineer with strong expertise in Context Engineering, Agentic AI, Conversational AI, and Generative AI to design and deliver AI solutions across Google, AWS, and Microsoft ecosystems.Key ResponsibilitiesDesign and develop Agentic AI, conversational agents & virtual assistantsLead and mentor AI engineers and conduct technical peer reviewsDesign AI solution architecture, user flows, APIs and integrationsDevelop and tune NLP, LLM and conversational AI solutionsBuild dashboards to monitor AI agent performanceDevelop custom indexes, manage data sources and improve intent matchingIntegrate AI agents with APIs, Microsoft 365, SharePoint and enterprise applicationsImplement AI solutions securely with strong privacy and governance standardsLead POCs and evaluate emerging AI technologiesCollaborate with business SMEs, UX, BA, PM and Automation CoE teamsMust-Have Technical SkillsGoogle Dialogflow CX / CX Agent Studio / Google CCAI | Enterprise Looker DashboardsAWS Bedrock | AWS Transcribe | AWS Comprehend | AWS Lambda | AWS Step FunctionsPython / C# / .NET / JavaScriptAPI Development | Conversational AI | Generative AI | NLP | LLM | Agentic AIMicrosoft Skills – PreferredMicrosoft FoundryAzure AI SearchAzure AI LanguageCopilot StudioPower PlatformSharePoint OnlineMicrosoft 365Mandatory Experience10+ years IT experience6+ years in Conversational AI / Generative AI implementation2+ years developing Google conversational agents / Dialogflow CX / CX Agent Studio2+ years developing Enterprise Looker Dashboards for AI agent monitoring2+ years of AWS AI experience with Bedrock, Transcribe, Comprehend, Lambda & Step FunctionsBachelor’s degree in Computer Science, Information Systems or related field, or equivalent experience⭐ PreferredGoogle/AWS certificationsMicrosoft FoundryPower PlatformSharePoint OnlineAgentic AIInterested candidates: Please share your updated resume along with your AI experience, Google/AWS/Microsoft skills, location and work authorization.