Staff Software Engineer/Data Scientist

As a Staff Engineer at our company, you will play a crucial role in designing and delivering AI solutions, automating regulatory filing processes, and engineering knowledge bases for strategic domains. Your responsibilities will include collaborating with stakeholders, developing end-to-end solutions, designing unstructured data retrieval strategies, and optimizing customer experience using GenAI technology. Additionally, you will be involved in evaluating and monitoring AI models, generating synthetic data, and integrating MLOps into architectural frameworks to ensure scalable and secure deployments. Key Responsibilities: - Design and deliver AI solutions encompassing statistical, ML, and generative/agentic AI across various applications such as RAG pipelines, chat/assistants, classification, forecasting, and recommendation systems. - Automate regulatory filing support through the deployment of GenAI capabilities, ensuring compliance with evolving standards and enabling direct API integrations with regulatory bodies. - Engineer and maintain domain-specific knowledge bases to power generative applications in underwriting, pricing, and service domains. - Develop a deep understanding of the company's business structures, processes, and data sources, embedding domain taxonomies, regulatory constraints, access controls, and security into solution designs. - Collaborate with leaders and SMEs across different departments to align initiatives with business goals, define success criteria, and translate model behavior into actionable strategies. - Own the AI lifecycle from problem framing through deployment, collaborating with various teams for seamless integration and ensuring adherence to responsible AI practices. - Prepare multi-format content, design retrieval strategies, author system prompts, and define safe tool-use policies to ensure reliable agent behavior. - Define metrics, build test sets, support A/B testing, and monitor drift across use cases, providing economic, qualitative, and statistical analysis supporting thresholds and decisions. - Develop and validate synthetic data pipelines to accelerate convergence while preserving privacy and distributional fidelity. - Apply GenAI to enhance customer experience, self-service, virtual assistants, and inspection automation, driving personalization, speed, and operational efficiency. - Partner with enterprise architects and platform teams to ensure scalable, secure deployments and standardize experiment tracking, evaluation gates, and CI/CD patterns. Qualification Required: - 6 to 9 years of experience in statistical modeling and machine learning using Python, including familiarity with pandas, NumPy, scikit-learn, and strong SQL. - Solid understanding and practical application of core machine learning methods, with experience in applying deep learning architectures in real-world scenarios. - Experience in unstructured data handling, model evaluation, monitoring, and deployment in cloud-based AI platforms. - Exposure to NLP, Generative AI capabilities, advanced GenAI applications, and enterprise AI governance expectations. No additional details of the company are provided in the job description. As a Staff Engineer at our company, you will play a crucial role in designing and delivering AI solutions, automating regulatory filing processes, and engineering knowledge bases for strategic domains. Your responsibilities will include collaborating with stakeholders, developing end-to-end solutions, designing unstructured data retrieval strategies, and optimizing customer experience using GenAI technology. Additionally, you will be involved in evaluating and monitoring AI models, generating synthetic data, and integrating MLOps into architectural frameworks to ensure scalable and secure deployments. Key Responsibilities: - Design and deliver AI solutions encompassing statistical, ML, and generative/agentic AI across various applications such as RAG pipelines, chat/assistants, classification, forecasting, and recommendation systems. - Automate regulatory filing support through the deployment of GenAI capabilities, ensuring compliance with evolving standards and enabling direct API integrations with regulatory bodies. - Engineer and maintain domain-specific knowledge bases to power generative applications in underwriting, pricing, and service domains. - Develop a deep understanding of the company's business structures, processes, and data sources, embedding domain taxonomies, regulatory constraints, access controls, and security into solution designs. - Collaborate with leaders and SMEs across different departments to align initiatives with business goals, define success criteria, and translate model behavior into actionable strategies. - Own the AI lifecycle from problem framing through deployment, collaborating with various teams for seamless integration and ensuring adherence to responsible AI practices. - Prepare multi-format content, design retrieval strategies