About the Company

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes.

Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.

Please visit www.exlservice.com for more information about EXL Analytics.

About the Role

EXL is looking for AI Engineers for Claims Intelligence & Data Pipelines work with GCP experience.

AI Engineer + GCP experience (Manager / Senior Manager)

Year of Experience: 7-12 years.

What You Will Do

AI Module Integration & Inference Pipelines

- Integrate and adjust inference pipelines for NLP modules including document classification, entity extraction, de-identification (DEID),



and LLM-based early trend detection
- Connect DS-coded AI modules into end-to-end production workflows via Airflow DAGs on AWS EKS
- Build and tune hybrid search pipelines combining GTE multilingual dense embeddings with GIN lexical search on Aurora PostgreSQL
- Integrate with OpenAI-based API platform for multilingual query expansion and LLM-driven trend detection

Document Processing & Parsing

- Design and maintain document preprocessing pipelines that parse deeply nested JSON structures (emails with attachments, embedded PDFs) from S3/DataLake
- Handle multilingual unstructured text (English, Spanish, Portuguese, German, Dutch, French, Italian) across 300 GB of claim notes and documents
- Build chunking strategies and metadata extraction for downstream embedding and retrieval workflows

Data Pipeline Engineering

- Author and maintain Airflow DAGs for batch processing (monthly entity refresh, trend detection, DEID pipeline)
- Manage data flow across AWS services: S3, Athena, Glue, Fargate, SQS, Step Functions
- Scale pipelines to handle 500K+ claims and hundreds of millions of text chunks

Production Deployment & Quality

- Deploy and version models using MLflow and Databricks
- Manage schema evolution and migrations using Liquibase on Aurora PostgreSQL
- Instrument pipelines with logging, monitoring, and evaluation scoring for retrieval quality

Required Technical Skills

Languages

Python (primary), SQL

AI / NLP

LLM API integration, multilingual embeddings (e.g., GTE), hybrid search, text classification, entity extraction, NER, PII masking

Data Pipelines

Apache Airflow, batch orchestration,



large-scale unstructured data processing

Cloud & Infrastructure

AWS (S3, Athena, Glue, Fargate, EKS, SQS, Step Functions)

Databases

PostgreSQL / Aurora, pgvector, GIN indexes, full-text search

ML Platform

MLflow, Databricks / Azure Databricks

DevOps

GitHub, CI/CD pipelines

Nice to Have

- Experience with RAG (Retrieval-Augmented Generation) pipeline design and evaluation
- Familiarity with insurance claims or financial services data
- Experience with multilingual NLP at scale
- Knowledge of Liquibase for database schema management
- Exposure to Runway Model Catalog or similar model deployment platforms

Team Context

You will work closely with Data Scientists to bridge the gap between experimental DS code and production-grade AI systems. The team follows an agile process (Jira-tracked), maintains documentation in Confluence, and operates on a modern AWS + Databricks stack.

What we offer

- EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an prospect to work closely with highly experienced, world class analytics consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

📌 AI Engineer (Manager / Senior Manager) (Gurugram)
🏢 EXL
📍 Gurugram