Job Description

Lead the global development of Generative AI (GenAI) initiatives, leveraging Large Language Models (LLMs) across multiple languages and modalities to power AI-driven solutions. You will contribute expertise in LLMs, prompt engineering, system integration, and agent orchestration using frameworks such as Langchain, AWS Bedrock, or similar platforms. 

This role offers a unique opportunity to drive innovation in the insurtech space, shaping next-generation GenAI applications that transform business operations. You will collaborate closely with AI leadership, data scientists, engineers, and product managers to bring these solutions to life.

• Develop and integrate GenAI applications for customer engagement, utilizing LLMs and orchestration frameworks to enable intelligent interactions.
• Lead the design, implementation, and scaling of internal AI agents and customer-facing solutions such as GenAI-enhanced contact centers.
• Architect and deploy customized GenAI solutions on platforms like AWS Bedrock, leveraging foundation models from top providers.
• Fine-tune and assess LLMs using a mix of proprietary and third-party datasets to improve performance and relevance.
• Build robust APIs and backend systems to support real-time AI processing and inference.
• Ensure GenAI solution reliability, data privacy, and response accuracy through comprehensive testing and monitoring.
• Contribute to responsible AI governance, ensuring all GenAI implementations align with ethical standards, transparency, and industry compliance.
• Partner with the data science team to expand GenAI use cases across domains such as document analysis, claims automation, and intelligent reporting.
• Provide strategic input into the global GenAI roadmap, identifying and recommending emerging technologies for adoption.
• Maintain clear technical documentation and foster cross-functional collaboration to ensure alignment between business needs and technical deliverables.
• Stay abreast of industry trends and continuously explore new tools or methodologies to enhance GenAI performance and scalability.

Job Requirements

• Over 6 years of experience in AI and machine learning, including more than 3 years specializing in machine learning engineering, natural language processing (NLP), Generative AI, and LLM technologies.
• Hands-on experience with LLM agentic workflows and frameworks such as Langchain, LangGraph, and LlamaIndex.
• Solid understanding of transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and methodologies for evaluating LLM performance.
• Proficient in spoken and written English, with a minimum B2/C1 language level.
• Practical experience with MLOps and LLMOps is highly desirable.
• Knowledge of designing, implementing, and managing distributed training pipelines for LLMs to ensure scalability and efficiency is a strong plus.
• Advanced proficiency in Python, with hands-on experience using machine learning frameworks such as PyTorch and scikit-learn for training, fine-tuning, and deploying generative models.
• Familiarity with cloud platforms, preferably AWS.
• Experience working with Voice Conversational AI is a significant advantage.
• Capable of contributing effectively both independently and in a collaborative team environment.
• Strong analytical and problem-solving abilities.
• Excellent communication, interpersonal, and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Skills