Top Tech Jobs & Startup Jobs in Chennai

The Technical Architect will design and implement technical solutions, ensure systems meet business needs, and guide development teams on architecture and integration.

Design, develop and maintain AAA portfolio management interfaces, core objects and integrations. Perform business analysis, write technical specifications, conduct technical testing, validate vendor work, support projects and operations, and propose system improvements.

The Senior AI / ML Ops Engineer will design and operate Agentic AI systems, implement MLOps practices, and ensure production automation is secure and reliable.

Lead the design and implementation of ETL processes, develop Python solutions, and create data visualizations, collaborating with cross-functional teams.

Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.

Design, build, migrate, and support enterprise integrations using SAP CPI and PI/PO. Develop iFlows, mappings, adapters, and custom Groovy/XSLT logic; monitor and troubleshoot integrations; optimize performance; collaborate with stakeholders; and maintain technical documentation.

Senior integration consultant responsible for designing, developing, and supporting SAP ECC integrations using PI/PO and middleware (MuleSoft, ESB, IBM DataPower). Build and maintain interfaces (IDoc, RFC, Web Services, file), perform testing, tuning, production support, root-cause analysis, and produce technical documentation while ensuring security and best practices.

Lead configuration and implementation of SAP SD and MM modules, translate business requirements into functional specifications and system configurations, design integration touchpoints with FI/CO, WM, PP, coordinate with ABAP developers for RICEF objects, perform testing and UAT, resolve production issues, provide documentation, training, and post-implementation support.

The Cloud Engineer will automate provisioning and deployment tasks, work on application containerization, and train other teams in cloud technologies.

Design, build, test, and maintain data ingestion, transformation, and enrichment pipelines using Python, PySpark and SQL. Optimize SQL and Spark jobs, maintain CI/CD (Git, Jenkins, Docker), monitor production workloads, document data lineage, collaborate with architects and analysts, mentor junior engineers, and contribute to innovation and Agile delivery.