Jobs at EXL

Architect and operate secure, compliant AWS data pipelines and analytics integrations. Ensure data quality, lineage, residency, and privacy-preserving engineering to meet HIPAA, SOC 2, GDPR, and CCPA. Lead data modeling, build CI/CD for data infrastructure, enforce least-privilege access, implement IaC governance, mentor engineers, perform code reviews, and produce runbooks and compliance evidence.

Design, build, and operate production-grade Generative and Agentic AI applications and services. Develop backend services in Python, integrate LLM APIs and agent frameworks, implement RAG and vector search, deploy on major clouds, ensure reliability, observability, and mentor junior engineers.

Analyze and operationalize consent and privacy-related data across its lifecycle. Use SQL for data profiling and anomaly detection, design consent-focused data models, support OneTrust and integrations with CRM/ESPs, enforce data governance and GDPR/CCPA compliance, monitor data quality, document lineage, and collaborate cross-functionally in Agile teams.

Design, build, and operate production-grade generative and agentic AI applications and services. Develop Python backend services, RAG pipelines, multi-agent systems, LLM integrations, APIs, and cloud deployments. Implement observability, security, and engineering best practices while mentoring junior engineers and driving platform architecture decisions from prototype to production.

Manage end-to-end CRM lifecycle: campaign strategy, segmentation, build/deploy for outbound channels (email/SMS/push), A/B and multivariate testing, lifecycle optimization, performance measurement, and cross-functional collaboration to grow fan engagement and lifetime value.