Top Tech Jobs & Startup Jobs in Mumbai

Lead account management support, presales, and solutioning for healthcare provider clients. Drive account research, pipeline governance, RFP/RFI orchestration, SFDC reporting, business reviews, and cross-functional coordination to expand revenue and ensure client satisfaction.

Lead, train, and mentor staff to ensure high engagement and productivity. Oversee client service standards, handle escalated client issues, and resolve problems promptly to maintain satisfaction and performance.

Design, build, and maintain scalable cloud-native data pipelines and dimensional data models using DBT, SQL, and AWS services. Implement infrastructure-as-code with AWS CDK, automate CI/CD, ensure data quality and governance, optimize performance, and collaborate with cross-functional teams and offshore partners to deliver analytics-ready data assets.

Design, build, maintain, and execute automated UI and API tests using Selenium, TestComplete, ReadyAPI/Postman/Playwright. Create automation frameworks from scratch, integrate tests with CI/CD pipelines and Jenkins, and connect automation with test management tools (JIRA/DevOps). Work within Agile/SDLC processes, collaborate with cross-functional teams, and ensure test reliability and quality for web applications.

Lead end-to-end Genesys Cloud CX implementations delivering omnichannel contact center solutions. Design IVR/ACD/Architect flows, routing, QM, WFM, agent scripting, telephony (SIP/SBC), bot integrations (Dialogflow), CRM and API integrations, and data pipelines to Snowflake for reporting and analytics. Oversee client design, build teams, and delivery.

Define technical vision and lead end-to-end development of Google CCAI initiatives. Design generative, agentic conversational architectures (Dialogflow CX), implement Python-based webhooks and serverless backends on GCP, build tool/function-calling integrations, manage Protos and data payloads, create automated evals and CI/CD for voice agents, and optimize prompt/context for LLM-driven agent experiences.

Build and maintain Python-based Generative AI applications and RAG pipelines. Implement and optimize LLMs (GPT, LLaMA, Mistral, FLAN T5), embeddings, indexing, chunking, reranking, prompts, and evaluation. Integrate multiple data sources, use cloud GPU resources (AWS/Azure/Databricks), design agentic/multi-agent systems with LangGraph/CrewAI/AutoGen, collaborate across teams, document specifications, and assist in delivering client solutions.

Lead analytics initiatives: analyze large datasets, build and maintain Power BI/Tableau dashboards and KPI scorecards, collaborate with stakeholders, ensure data quality, deliver ad-hoc analyses, manage multiple projects, mentor team members, and present insights to leadership to support strategic decision-making.

Design, develop, and deploy GenAI applications using LLMs, RAG, and orchestration frameworks. Build prompt-based solutions, vector DB integrations, document ingestion and retrieval pipelines. Create scalable APIs and microservices, design testing strategies and synthetic datasets, and collaborate with AI architects, data engineers, and product stakeholders to deliver reliable, performant AI-powered business features.

Design, build, and optimize scalable AI-ready data pipelines on GCP and Snowflake. Ingest, transform, validate, and integrate structured data, create synthetic datasets, build APIs and backend workflows, and implement monitoring, CI/CD, and cost/performance optimizations to support AI and analytics solutions.