Technical lead
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Role Purpose: Lead the architectural vision, governance and evolution of enterprise-grade Conversational AI and Gen AI platforms driving multi-cloud, LLM orchestration and integration design for large-scale telecom ( preferred)) deployments. Strong focus on AI/ML and cloud-native platforms. Deep expertise in AI services around AWS Kiro & Bedrock — Open AI, ML Prompt Flow, Cognitive Services (CLU, Speech, Q&A). Hands-on experience with LLM orchestration frameworks — Lang Chain, Lang Graph, Lang Smith, and RAG patterns.
Proven ability to design multi-cloud architectures spanning AWS, Azure, and Google Cloud Platform. Strong knowledge of graph databases (Neo4j), No SQL (Cosmos DB, Mongo DB), and event-driven architectures (Kafka). Experience with Dev Sec Ops toolchains — Git Hub Actions, Sonar Qube, JFrog, shift-left security practices. Excellent stakeholder management skills — ability to present architectural decisions to CXO-level audiences. Own solution architecture for multi-channel virtual assistant and Gen AI-powered agent support platforms.
Govern data pipelines processing very high volume events via Python ETL to cloud analytics platforms Lead P1/P2 incident escalations and cross-functional war room resolution across platform stack.
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