Retrieval-augmented generation (RAG) is a rapidly growing field as a sophisticated AI technique that enhances the performance of LLMs by retrieving relevant documents or information from external sources during text generation. Consequently, the demand for skilled professionals with expertise in RAG is on the rise. Against this backdrop, companies across sectors are seen posting jobs related to RAG, finds GlobalData, a leading data and analytics company.

Sherla Sriprada, Business Fundamentals Analyst at GlobalData, comments: “We are currently at the forefront of the AI revolution, harnessing generative AI (GenAI) and RAG scenarios to drive the future growth and support a wider range of customer workloads. Companies are placing a greater emphasis on incorporating RAG techniques into their hiring strategies, seeking candidates with experience in GenAI projects utilizing RAG.”

An analysis of GlobalData’s Job Analytics Database reveals that some of the notable companies looking for RAG professionals across sectors are Microsoft Corp, NVIDIA Corp, JPMorgan Chase & Co, Manulife Financial Corp, New York Life Insurance Co, and AstraZeneca Plc.

Microsoft Corp’s “Principal AI Infrastructure Developer” role involves enhancing the quality of AI solutions, ensuring answer consistency, developing answer relevance, RAG quality, advancing capabilities in map-reduce summarization, and action automation with proficiency in technologies including AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn), and RAG systems.

The “Solutions Architect, Retrieval Augmented Generation” role by NVIDIA Corp will promote the adoption of RAG pipelines streamline deployment to production, perform in-depth analysis and optimization of RAG pipeline components to ensure the best performance on GPU systems.

JPMorgan Chase & Co’s “Securities Services – Client Service Manager – Vice President” role is to manage a portfolio of high growth/complex/strategically important clients within the securities services business covering all products that incorporate appropriate measurement and monitoring of service levels, utilizing KPI and RAG ratings.

The “Director/Architect, Generative AI” role by Manulife Financial Corp focuses on harnessing GenAI technologies like prompt engineering, RAG, function calling, and agentic approaches and scaling them across Asia. The role also looks at developing and implementing machine learning models to tackle complex business challenges, utilizing various algorithms and techniques, primarily emphasizing AI tech patterns like RAG and Multi-Agent approach.

New York Life Insurance Co’s “Senior Product Owner- RAG & Generative AI Chatbots” role looks at executing the roadmap for RAG and chatbot capabilities, developing KPIs to measure success, and collaborating with various stakeholders throughout the organization to ensure alignment and integration.

AstraZeneca Plc’s “Associate Director/Director Data Science – Biometrics, CVRM” role will identify new opportunities for application of data science that deliver value to patients and contribute to the data science strategy within the CVRM Therapeutic Area in developing generative AI model solutions, including RAG.