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About the role
As a Software Engineer at the insurance company, your role will involve designing and delivering AI solutions across various domains such as RAG pipelines, chat/assistants, classification, forecasting, and recommendation systems. You will be responsible for developing and deploying GenAI capabilities to automate regulatory filing support, partnering with Legal and Compliance to ensure compliance with standards. Additionally, you will engineer and maintain domain-specific knowledge bases to power generative applications and integrate domain taxonomies and regulatory constraints into solution design. Collaboration with stakeholders across different departments and aligning initiatives to business goals will be a key aspect of your role. You will own the AI lifecycle from problem framing through deployment and collaborate with various teams for seamless integration. Your responsibilities will also include preparing multi-format content, designing retrieval strategies, authoring system prompts, and defining safe tool-use policies for reliable agent behavior. Moreover, you will be involved in defining metrics, building test sets, supporting A/B testing, and monitoring drift across various use cases. Developing and validating synthetic data pipelines, applying GenAI for customer experience optimization, and collaborating with architectural teams for scalable deployments will also be part of your responsibilities. Your role will also involve identifying and piloting emerging methods, building reusable accelerators, and staying updated on the latest trends in AI/ML and responsible AI practices. Key Responsibilities: - Designing and delivering AI solutions spanning various domains - Deploying GenAI capabilities for regulatory filing automation - Engineering and maintaining domain-specific knowledge bases - Integrating domain taxonomies and regulatory constraints into solution design - Collaborating with stakeholders across departments - Owning the AI lifecycle from problem framing to deployment - Preparing multi-format content and designing retrieval strategies - Authoring system prompts and defining safe tool-use policies - Defining metrics, building test sets, and monitoring drift - Developing and validating synthetic data pipelines - Applying GenAI for customer experience optimization - Collaborating with architectural teams for scalable deployments - Identifying and piloting emerging methods and staying updated on AI/ML trends Qualifications Required: - Experience in statistical modeling and machine learning using Python - Experience across the end-to-end modeling lifecycle - Solid understanding and practical application of core machine learning methods - Experience working with unstructured data - Experience using Git and Unix-based development environments - Experience communicating modeling decisions to technical and non-technical audiences - Experience working with cloud-based AI platforms - Experience deploying models and integrating scoring logic into production systems - Experience with NLP and Generative AI capabilities - Experience working within enterprise AI governance expectations Additional Company Details: The company is determined to make a difference beyond coverages and policies and provides opportunities for personal and professional growth. Joining the team means contributing to shaping the future while achieving your own goals and helping others accomplish theirs. As a Software Engineer at the insurance company, your role will involve designing and delivering AI solutions across various domains such as RAG pipelines, chat/assistants, classification, forecasting, and recommendation systems. You will be responsible for developing and deploying GenAI capabilities to automate regulatory filing support, partnering with Legal and Compliance to ensure compliance with standards. Additionally, you will engineer and maintain domain-specific knowledge bases to power generative applications and integrate domain taxonomies and regulatory constraints into solution design. Collaboration with stakeholders across different departments and aligning initiatives to business goals will be a key aspect of your role. You will own the AI lifecycle from problem framing through deployment and collaborate with various teams for seamless integration. Your responsibilities will also include preparing multi-format content, designing retrieval strategies, authoring system prompts, and defining safe tool-use policies for reliable agent behavior. Moreover, you will be involved in defining metrics, building test sets, supporting A/B testing, and monitoring drift across various use cases. Developing and validating synthetic data pipelines, applying GenAI for customer experience optimization, and collaborating with architectural teams for scalable deployments will also be part of your responsibilities. Your role will also involve identifying and piloting emerging methods, building reusable accelerators, and staying updated o
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