Top Tech Jobs & Startup Jobs in Chennai

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.

Lead design, development, and deployment of enterprise Generative AI solutions: architect LLM-based systems, build orchestration pipelines, establish prompt governance and guardrails, implement RAG and vector search, optimize inference and benchmarking, and convert prototypes into production across AWS, GCP, and Snowflake.

Work with data stewards and business stakeholders to define Critical Data Elements, build data dictionaries, and map business terms to the enterprise glossary. Support Data Quality by linking business and quality rules to technical metadata. Build reporting infrastructure, dashboards, alert automations, visualizations, and polished presentations using Tableau and Advanced SQL.

Perform general PC-based tasks including strong Microsoft Excel use, web research, and navigation. Require 1+ years insurance process experience for Level 3, typing speed of 40 WPM at 98% accuracy, and a graduate-level education (15 years).

Lead creative direction, brand voice, and visual design for GTM materials. Produce client pitches, thought leadership, and partner co-branded content. Support sales pursuits with pipeline visibility in Salesforce, manage external creative vendors, and set the organizations standard for AI-first product presentation.

Perform regular and ad-hoc reconciliations of balance sheet accounts (cash, AR, AP, etc.), investigate and resolve discrepancies between ledgers and external statements, and maintain accurate financial records to support reporting and compliance.

Execute end-to-end Record to Report (R2R) tasks including general ledger accounting, journal entries, balance sheet and bank reconciliations, fixed asset and lease accounting, month-end/year-end close support, and preparation of variance analysis and financial close schedules.

Design, develop, and deploy data-driven solutions across the retail lending lifecycle. Manage and analyze multiple data sources, build ML models, resolve data issues with client IT, and present technical findings clearly to stakeholders.

Lead end-to-end Genesys Cloud CX implementations, designing IVR/ACD/Architect flows, QM and WFM configurations, telephony/SBC integration, Dialogflow bot integrations, CRM and data warehouse (Snowflake) integrations, and provide post-go-live support, reporting enablement, and client-facing solution delivery.

Lead and own measurement, attribution, and analytics delivery across clients: manage a Measurement & Attribution Pod, define governance and architecture, advise stakeholders, drive adoption and expansion of CDP/analytics solutions, integrate platforms, and support pre-sales and innovation including AI/ML and Mix Modeling.