Senior Staff AI Data Engineer (Insurance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Staff AI Data Engineer (AI/Data Engineering): Leading the development of AI data pipelines and RAG architectures to support agentic solutions in the insurance domain with an accent on scalable batch/streaming pipelines and unstructured data integration. Focus on designing production-grade GenAI foundations, optimizing vector/graph databases, and ensuring the reliability and governance of enterprise-scale AI data systems.
Location: Hybrid; must be based in or able to commute to Hartford, CT; Chicago, IL; Columbus, OH; or Charlotte, NC (3 days a week, Tuesday through Thursday).
Company
is a leading insurance company focused on innovation and excellence in providing coverage and policies.
What you will do
- Lead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data for RAG and agentic solutions.
- Design, build, and optimize scalable batch and real-time streaming data pipelines using technologies such as Snowpipe.
- Implement and optimize Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data platforms.
- Develop and integrate graph database solutions to support complex data relationships within AI systems.
- Drive engineering discipline across platforms, focusing on observability, data quality, lineage, and governance.
- Mentor junior engineers and provide architectural leadership to define technical standards.
Requirements
- Must be authorized to work in the US without company sponsorship.
- 8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale processing.
- Proven experience designing and operationalizing production-ready GenAI and RAG pipelines.
- Strong programming skills in Python and hands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake).
- Experience with vector and graph databases, including design and optimization.
- Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
Nice to have
- Experience in the P&C insurance industry.
- Experience designing multi-cloud or hybrid AI data solutions.
- AI-related certifications.
- Contributions to open-source AI projects or GenAI research.
Culture & Benefits
- Hybrid work arrangement with fixed office days (Tuesday-Thursday).
- Comprehensive compensation package including base pay, annual bonuses, and long-term incentives.
- Focus on innovation, collaboration, and professional growth opportunities.
- Commitment to diversity and inclusion as an Equal Opportunity Employer.
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