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 Seeking a GenAI Manager to lead the development and deployment of AI-powered document intelligence and information extraction solutions. This role will partner with business stakeholders, Data Science teams, and engineering teams to deliver scalable GenAI solutions using LLMs, prompt engineering, and cloud-based AI platforms. How you'll make an impact Responsibilities: Lead the design and implementation of GenAI-powered document extraction and automation solutions. Translate business requirements into extraction schemas, validation rules, and quality metrics. Drive prompt engineering, model evaluation, and continuous optimization of LLM-based workflows. Oversee Python-based extraction pipelines, validation frameworks, and post-processing logic. Establish best practices for testing, monitoring, logging, and error handling. Collaborate with offshore and onsite teams, including US-based Data Science teams. Partner with business owners to prioritize enhancements and manage delivery backlogs in Azure DevOps. Ensure solutions align with security, governance, and Responsible AI standards. About you Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field. 8+ years of experience in Analytics, AI/ML, Data Engineering, or Intelligent Automation. Hands-on experience with Generative AI, LLMs, prompt engineering, and evaluation frameworks. Strong programming skills in Python and Spark. Experience with Azure OpenAI, Azure AI Services, Databricks, Snowflake, and Azure ecosystem. Knowledge of CI/CD, Git, testing frameworks, and software engineering best practices. Strong stakeholder management, communication, and leadership skills. Preferred Qualifications: Experience with enterprise-scale document processing and information extraction. Knowledge of RAG, vector databases, embeddings, and semantic search. Experience leading AI/ML or GenAI solution teams. Familiarity with handling sensitive data and implementing responsible AI practices. 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) Responsibilities: Lead the design and implementation of GenAI-powered document extraction and automation solutions. Translate business requirements into extraction schemas, validation rules, and quality metrics. Drive prompt engineering, model evaluation, and continuous optimization of LLM-based workflows. Oversee Python-based extraction pipelines, validation frameworks, and post-processing logic. Establish best practices for testing, monitoring, logging, and error handling. Collaborate with offshore and onsite teams, including US-based Data Science teams. Partner with business owners to prioritize enhancements and manage delivery backlogs in Azure DevOps. Ensure solutions align with security, governance, and Responsible AI standards. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field. 8+ years of experience in Analytics, AI/ML, Data Engineering, or Intelligent Automation. Hands-on experience with Generative AI, LLMs, prompt engineering, and evaluation frameworks. Strong programming skills in Python and Spark. Experience with Azure OpenAI, Azure AI Services, Databricks, Snowflake, and Azure ecosystem. Knowledge of CI/CD, Git, testing frameworks, and software engineering best practices. Strong stakeholder management, communication, and leadership skills. Preferred Qualifications: Experience with enterprise-scale document processing and information extraction. Knowledge of RAG, vector databases, embeddings, and semantic search. Experience leading AI/ML or GenAI solution teams. Familiarity with handling sensitive data and implementing responsible AI practices.
