AI Architect

ExlService Holdings, Inc.; New Jersey; On-site; USD 120,000 - 190,000; Full time

Job summary

ExlService Holdings, Inc. seeks a skilled AI/ML professional to design, develop, and deploy AI, ML, and Generative AI solutions addressing business problems across the disability insurance value chain.

You'll translate business objectives into practical AI/ML use cases, work through the full ML lifecycle—from problem framing to monitoring—and build NLP and document intelligence pipelines using structured and unstructured data.

Qualifications

• Translate business, actuarial, and claims objectives into practical AI/ML use cases, analytical designs, and production-ready solution components.

Responsibilities

• Design, develop, and deploy AI, ML, and Generative AI solutions addressing business problems across the disability insurance value chain.
• Translate business objectives into practical AI/ML use cases, analytical designs, and production-ready solution components.
• Work across the full ML lifecycle, including problem framing, data exploration, feature engineering, model development, validation, deployment support, monitoring, retraining, and continuous improvement.
• Build and optimize supervised, unsupervised, deep learning, NLP, and Generative AI models using structured and unstructured data.
• Develop NLP and document intelligence pipelines for extracting, classifying, summarizing, and interpreting information from medical records, claim notes, correspondence, and other unstructured documents.
• Support Generative AI solution development, including prompt engineering, embeddings, Retrieval-Augmented Generation, vector search, model evaluation, guardrails, and integration with enterprise applications.
• Apply robust model validation practices, including performance tuning, bias detection, explainability analysis, stability testing, and business impact assessment.

Skills

AI/ML design

GenAI & NLP

Model deployment

Problem framing

Data exploration

Job description

Design, develop, and deploy AI, Machine Learning, and Generative AI solutions that address business problems across the disability insurance value chain, including claims segmentation, fraud detection, risk scoring, duration modeling, outcome prediction, and next-best-action recommendations.

Translate business, actuarial, and claims objectives into practical AI/ML use cases, analytical designs, and production-ready solution components.

Work across the full ML lifecycle, including problem framing, data exploration, feature engineering, model development, validation, deployment support, monitoring, retraining, and continuous improvement.

Build and optimize supervised, unsupervised, deep learning, NLP, and Generative AI models using structured and unstructured data such as claims history, medical records, claim notes, policy data, and operational data.

Develop NLP and document intelligence pipelines for extracting, classifying, summarizing, and interpreting information from medical records, claim notes, correspondence, and other unstructured documents.

Support Generative AI solution development, including prompt engineering, embeddings, Retrieval-Augmented Generation, vector search, model evaluation, guardrails, and integration with enterprise applications.

Apply robust model validation practices, including performance tuning, bias detection, explainability analysis, stability testing, and business impact assessment.