Top Tech Jobs & Startup Jobs in Chennai

Supports program and portfolio management activities by gathering performance data, tracking issues and resolutions, maintaining program documentation, creating work breakdown structures, updating program artifacts, and assisting with schedules, risk plans, communication plans, and program charters. Uses Excel, PowerPoint, SharePoint, Teams, and basic project-management tools to coordinate reporting and documentation while adhering to compliance and risk-management requirements.

Reviews and approves KYC files, conducts enhanced due diligence, sanctions screening, and AML risk assessments, and escalates suspicious activity. Provides subject-matter guidance, manages stakeholder exceptions, prepares risk and management reports, and improves KYC workflows through gap analysis and re-engineering. The role also supports project management, regulatory compliance, risk controls, and onboarding operations with substantial autonomy.

Leads the architecture, development, deployment, and support of complex Python applications. Partners with technology and management teams, defines system enhancements, establishes coding and testing standards, resolves high-impact technical problems, and ensures architectural compliance. Provides technical mentorship, code reviews, project leadership, and stakeholder communication. Requires expertise in Python frameworks, distributed systems, databases, APIs, CI/CD, cloud platforms, containers, automated testing, application security, AI technologies, and Agile development.

Designs, builds, and scales production-grade Generative AI and Agentic AI applications using LLMs, RAG, vector databases, and AI agent frameworks. Develops Java and Python backend services, REST APIs, and cloud-native microservices. Implements prompt engineering, evaluation, guardrails, AI governance, observability, and cost optimization. Collaborates with technical and business stakeholders to deliver customer-facing AI experiences and automate workflows at scale.

Lead the design, development, and deployment of production-grade generative AI and agentic systems, including LLM workflows, RAG pipelines, vector database integrations, and AI governance. Build scalable Java and Python backend services, cloud-native microservices, and customer-facing applications. Monitor model performance and costs while leading teams, managing budgets, and delivering intelligent experiences at enterprise scale.

Leads Citi’s KYC operations and team, overseeing AML monitoring, client onboarding, account refreshes, quality reviews, regulatory compliance, risk controls, management reporting, and process enhancements. Partners with Compliance and senior stakeholders, manages BAU and global migration programs, ensures service-level performance, supervises staff development, and acts as a subject matter expert for KYC processes and system releases.

Build and maintain automated IVR, bot, digital, and Generative AI tests using Cyara and Kore.ai. Develop CX models, test cases, monitoring processes, installation documentation, and training materials. Test conversational IVR projects in English and Spanish, support application troubleshooting, identify automation opportunities, assess vendors, and ensure audit, compliance, and quality standards. Collaborate with technology and business teams while reporting project status and mentoring junior staff.

Performs complex KYC and AML due diligence for private banking clients, including enhanced due diligence, sanctions screening, source-of-wealth reviews, risk assessments, and escalation of suspicious activity. Serves as a KYC subject matter expert, supports stakeholders, prepares management reports, improves onboarding workflows, and leads related projects. Requires independent judgment, regulatory expertise, strong communication, and the ability to manage high-volume, time-sensitive compliance operations.

Develop and maintain Python applications for Citi’s Wholesale Lending business. Responsibilities include application analysis, design, coding, testing, implementation, user support, security improvements, process definition, and risk management. The role requires collaboration with business and technology stakeholders, independent problem-solving, mentoring junior analysts, and serving as a subject matter expert. Candidates should have strong Python development experience, financial services knowledge, database expertise, CI/CD familiarity, and experience with version control tools.

Develop and integrate generative AI applications using hosted foundation models, RAG, prompt and context engineering, knowledge graphs, and agentic workflows. Build tool-using agents with frameworks such as Google ADK, LangGraph, or CrewAI; integrate external tools through MCP; and support deployment, monitoring, testing, documentation, and API development. Collaborate with data scientists and engineers while applying responsible AI, privacy, compliance, and guardrail principles.