AI Prompt Engineer & Data Engineer (GRM AI Factory)

Job description

About the job AI Prompt Engineer & Data Engineer Gurugram, Haryana, India The role will be part of the ESS shared resource pool supporting Group Risk Management (GRM) initiatives. The primary mission is to accelerate the adoption of Generative AI and automation capabilities within GRM by designing, industrializing, and operating AI-assisted solutions for document production, analysis, and knowledge extraction. The secondary mission is to contribute to data engineering initiatives, especially within the AXA Global Data Platform (GDP) ecosystem, leveraging Databricks and Azure data services. The role combines AI Prompt Engineering, AI Solution Industrialization, Data Engineering, and operational support activities What You’ll Be DOING What will your essential responsibilities include? AI Prompt Engineering & AI Solution Design (Core Mission) Design, test, and optimize prompts for GenAI use cases across GRM. Build reusable prompt libraries and prompt patterns supporting risk reporting, executive summaries, regulatory documentation, technical documentation generation, research and analytical processes, and knowledge management activities. Develop structured prompting frameworks and best practices suitable for enterprise-wide reuse. Measure and improve prompt quality through iterative testing and user feedback. Monitor AI output quality and continuously improve accuracy, relevance, consistency, and explainability. Stay current on advancements in Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and emerging AI tooling. Document Production Automation Identify opportunities for automation across GRM documentation processes. Design and implement AI-assisted solutions for automated report generation, document drafting and enrichment, content summarization, information extraction, knowledge retrieval, and regulatory and governance deliverables. Support the industrialization of AI-powered production workflows integrated with Microsoft and AXA technology environments. Ensure solutions are scalable, maintainable, and compliant with governance requirements. Analytical Enablement & Decision Support Support GRM teams in leveraging AI to accelerate analytical activities. Develop AI-assisted approaches for data interpretation, trend analysis, risk investigation, scenario exploration, and research acceleration. Work closely with business stakeholders to translate analytical needs into AI-enabled workflows. Contribute to experimentation and proof-of-concept initiatives demonstrating business value. Data Engineering Contribution (Secondary Mission) Support the design, development, and maintenance of data pipelines within the GDP ecosystem. Develop and maintain Databricks notebooks, data workflows, data transformations, ETL/ELT pipelines, and data quality controls. Contribute to the integration of AI use cases with enterprise datasets. Optimize data processing performance and reliability. Participate in troubleshooting and operational support activities when required. Governance, Industrialization & Knowledge Sharing Contribute to AI governance and responsible AI practices. Document solutions, architecture decisions, prompt libraries, and operational procedures. Participate in Communities of Practice across AI, data engineering, and automation domains. Support training and enablement of GRM users adopting GenAI solutions. Act as a trusted advisor for GRM stakeholders regarding AI capabilities and limitations. You will report to Vice President, Group Services. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Generative AI & Prompt Engineering Robu practical experience with Generative AI platforms, Prompt Engineering techniques, Large Language Models (LLMs), and AI-assisted automation workflows. Ability to design, evaluate, and optimize prompts for enterprise use cases. Understanding of RAG architectures, AI Agents, knowledge-grounded AI systems, and evaluation frameworks for LLM outputs. Software & Automation Development Experience in Python development. Ability to build automation components, APIs, and workflow integrations. Knowledge of software engineering best practices, version control, testing, and documentation. Desired Skills And Abilities Ability to interact effectively with business stakeholders. Good analytical and problem-solving capabilities. Excellent written and verbal English communication skills. Capacity to translate business requirements into technology solutions. Nice-to-have (advantages) Data Engineering & Databricks Hands-on experience with Databricks, PySpark, SQL, Azure Data Platform, and Data Lake architectures. Experience developing production-grade data pipelines. Knowledge of Unity Catalog, Delta Lake, Databricks Workflows, and Data Governance concepts. AI Industrialization Experience deploying enterprise AI solutions. Exposure to Azure AI services, vector databases, Semantic Search, and Knowledge Management platforms. Insurance & Risk Domain Experience in insurance, risk management, catastrophe modelling, regulatory reporting, or financial services environments is an advantage. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What We OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, et