Jobs at EXL

Architect and lead development of scalable GenAI application layers: design microservices for LLM requests and streaming (SSE), manage context, integrate React/Next.js frontends with Python/FastAPI backends, oversee cloud deployments (AWS/Azure/GCP), API gateways, and CI/CD for AI components.

Perform IP DRG coding audits to meet quality and production targets, follow SOPs and project protocols, update daily logs, escalate trends/issues, ensure team compliance with HIPAA and OIG, and respond promptly to manager communications.

Lead presales solution architecture for data and AI platforms: design client demos/PoCs, architect scalable distributed and event-driven systems, enforce observability/security/compliance, collaborate cross-functionally, evaluate vendors, create technical artifacts, and mentor presales engineers.

Oversee day-to-day insurance claims operations, ensure adherence to service levels and client management, drive revenue realization, and manage profitability.

QA Engineer responsible for designing and automating test plans, executing functional, API, integration, regression, UAT and performance tests, maintaining SLAs, monitoring uptime, managing incidents, reporting QA metrics, mentoring support teams, and contributing Cloud QA best practices for EXL Digital solutions.

Build and maintain fraud detection models for ACH, Mobile Check Deposit (MCD), and Zelle. Monitor model performance, investigate fraud trends, and update models as patterns change. Work independently using Python and SQL.

Lead development of LLM-powered applications and agentic workflows: implement RAG pipelines, vector DB integrations, prompt orchestration, AI agents, and REST microservices. Optimize inference, deployment (containers/CI-CD/cloud), and evaluate model accuracy/hallucination. Debug performance issues and document designs.

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.

Lead client engagements to deliver data, analytics, and AI-driven transformation; manage teams, develop client relationships, and drive business outcomes and growth.

Lead architecture and delivery of enterprise Generative AI solutions: design LLM-based RAG pipelines, multi-agent systems, and secure cloud deployments; establish LLMOps best practices; advise clients, run PoCs, and mentor engineering teams to operationalize scalable, compliant AI systems.

Serve as a hands-on AdTech SME owning platforms (GAM, DSPs, SSPs), troubleshooting trafficking/delivery issues, overseeing campaign QA and optimization, designing measurement/reporting, advising clients, enabling automation, and creating playbooks and training for delivery teams.