Introduction
Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging.
Overview
You will partner with business stakeholders to design AI-driven extraction rules that convert unstructured documents into highvalue structured data. You’ll craft and evaluate prompts for LLM-based extraction, maintain a Python codebase that powers workflows, and translate stakeholder needs into repeatable, auditable extraction pipelines.
How you'll make an impact
Responsibilities:
-
Translate business requirements into precise extraction targets, schemas, and quality thresholds.
-
Design, test, and iterate prompts for LLM-based extraction; implement evaluation protocols (e.g., accuracy, precision/recall).
-
Configure and maintain extraction workflows in Python, including parsing, validation, and post-processing rules.
-
Triage and resolve minor code issues; write unit tests and improve logging, monitoring, and error handling.
-
Work closely with the GB Data Science team in the US in an onsite-offshore model.
-
Partner with business owners to review outputs, prioritize improvements, and manage a backlog in Azure DevOps.
About you
Preferred qualifications:
-
An undergraduate/Masters degree in Computer Science, Data Science, Information Systems, or equivalent experience.
-
Experience with enterprise-scale datasets or high-volume document processing.
-
Exposure to Azure services, ideally Azure AI Search/Cognitive Search and Azure OpenAI, Databricks, Snowflake
-
Employees should have experience in Python/Spark, CI/CD, Sci-Kit Learn, Git.
-
Practical experience crafting prompts for LLMs and evaluating outputs (few-shot prompts, structured output formats, guardrails).
-
Ability to read/modify Python scripts, debug minor issues, and write clear, maintainable code.
-
Strong communication skills: can elicit requirements, clarify edge cases, and document decisions and workflows.
-
Working knowledge of handling sensitive data securely and following standardized procedures.
Experience:
-
2- 5 years as AI Engineer or Prompt Engineer, Understanding of designing data science experiments
Additional Information
At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page.
-
Competitive compensation
-
Comprehensive benefits programs designed to support your well-being
-
Career development opportunities and ongoing learning
-
A collaborative, people-first culture with accessible leadership
-
The opportunity to do meaningful work with global reach and local impact
At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles.
Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)
