ABOUT FPT SOFTWAREFPT Software, a subsidiary of FPT Group, is a leading global IT service provider headquartered in Vietnam. With 33,000+ employees in 88 offices across 30 countries, we serve 1,100+ clients, including 96 Fortune 500 companies.
We believe diversity fuels innovation and strive to create an inclusive workplace where talents of all backgrounds thrive. We welcome expatriates and international professionals to bring fresh perspectives and help shape the future of technology.
JOB OVERVIEW• In this position you will drive the development of GenAI activities globally, and bring expertise to leverage Large Language Models (LLMs) across languages and modalities for AI- driven products. You will work on LLMs, prompt engineering, system integration, agents orchestration and more using frameworks such as Langchain, AWS Bedrock, or similar. This role offers an opportunity to innovate in an insurtech environment, delivering next generation Gen AI solutions that modernize how the business operates, working closely with the Head of AI, data scientists, engineers, and product manager.
RESPONSIBILITES
• Driving the design, development and scaling of internal AI agents and customer- facing agentic solutions such as GenAI- powered Contact Centers
• Designing and deploying custom solutions on AWS Bedrock by using foundation models from leading providers.
• Working with the data science team to apply generative AI to other business areas, including document processing, claims decisioning, and reporting.
• Supporting bolttech global GenAI roadmap bringing expert insights on the technology to adopt
• Building scalable APIs and backend services to support real- time AI inference.
• Contributing to governance efforts by ensuring generative AI solutions follow responsible AI principles, including transparency, data privacy, and compliance with industry standards.
• Tracking industry trends and recommending tools or approaches to improve system performance and capability.
• Fine- tuning and evaluating large language models by using proprietary and external datasets.
• Building and integrating generative AI applications for customer interactions by using LLMs and orchestration frameworks.
• Documenting solutions and collaborating with engineering, product, and customer teams to align requirements and output.
• Ensuring reliability, privacy, and accuracy of Gen AI responses by applying testing and monitoring tools.