Top Tech Jobs & Startup Jobs in Chennai

Leads enterprise BI projects using Power BI and Microsoft Fabric, including BI strategy, dashboard and data-model development, delivery oversight, team management, and stakeholder engagement. Ensures reporting quality, data governance, security, warehousing, and ETL standards while supporting business decision-making. The role requires advanced expertise in DAX, Power Query, SQL, and data modeling, with exposure to Azure Data Factory, Looker, Python, and R.

Own end-to-end enterprise architecture across AWS and Azure environments, establishing scalable, secure, reusable integration patterns for GenAI, chatbot, translation, and document-processing services. Define target-state architecture, review designs, resolve integration constraints, lead architecture governance, and establish non-functional requirements covering security, data residency, exactly-once processing, and disaster recovery.

Lead complex technical programs spanning software development, cloud platforms, AI/GenAI, automation, and platform engineering. Own planning through production deployment, coordinate cross-functional engineering teams, facilitate architecture and technical decisions, manage scope, schedules, budgets, risks, quality, and dependencies, and oversee Agile delivery. Partner with executives, customers, vendors, architects, and engineering leaders while driving governance, release readiness, security, compliance, and continuous delivery improvements.

Own technical testing of AI agent outputs by building validation suites against golden-record datasets, tracking accuracy and turnaround-time metrics, and performing regression testing after agent or prompt changes. The role supports regulated-process quality assurance by providing technical evidence and findings for human QA sign-off. Candidates should have substantial QA or test engineering experience, including validation of ML or LLM outputs and benchmark dataset development for document or text-processing systems.

Build and deploy regulated-process AI agents on AWS Bedrock, including document generation, validation, and case intake workflows. Develop Fargate services, integrate Microsoft Graph API and event-driven patterns, configure prompts and guardrails, and test agent performance. Own OCR and intelligent document-processing pipelines using AWS Textract or equivalent and Azure Document Intelligence. Improve extraction accuracy, support auditability, integrate third-party tooling, and collaborate with QA and compliance teams.

Develop, test, and deploy generative AI agents and document-processing pipelines using AWS Bedrock and Fargate. Build OCR and intelligent document processing workflows, integrate Microsoft Graph API and enterprise platforms, engineer prompts and guardrails, and improve extraction accuracy and agent performance. Collaborate with architects, QA, and business stakeholders to deliver secure, compliant, production-ready AI automation for regulated and semi-regulated processes.

Provisions and operates AWS infrastructure supporting agent services, including VPCs, Fargate clusters, messaging, storage, monitoring, and observability. Manages infrastructure as code for repeatable deployments, ensures reliable exactly-once processing, coordinates security and access approvals for regulated client environments, and supports resilient multi-site delivery across AWS and Azure AI services.

Leads IT infrastructure strategy and execution for Cisco UCCE environments. Maintains UCCE servers and applications, Windows Server systems, virtualization, backups, disaster recovery, security hardening, monitoring, upgrades, migrations, and high-availability architecture. Troubleshoots call-routing and agent-availability issues, performs root-cause analysis, coordinates with Cisco TAC and vendors, supports change management, and documents technical procedures. Requires client interaction, approximately 10% travel, off-shift and weekend work, and participation in a 24x7 on-call rotation.

Lead end-to-end SAP S/4HANA Public Cloud Finance transformation initiatives, including FI/CO solution design, configuration, integration, data migration, testing, cutover, go-live, and hypercare. Configure SAP Best Practices using CBC, SSCUI, and Fiori while maintaining Clean Core principles. Facilitate fit-to-standard workshops, coordinate with Finance leadership and system integrators, support cross-functional integrations, and identify continuous improvement and automation opportunities.

Develop, test, and deploy AI agents and document-processing pipelines using AWS Bedrock, Python, AWS Fargate, OCR, and IDP technologies. Build integrations with Microsoft Graph API, implement prompts and guardrails, validate extracted data, and optimize agent workflows for regulated business processes. Collaborate with architects, QA teams, and stakeholders to deliver secure, compliant, production-ready AI solutions.