Senior Staff AI Data Engineer

Sr Staff Data Engineer - GE07DE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.

** Primary

Job Responsibilities *
* + Lead the implementation of AI data pipelines integrating  
** structured, semi-structured, and unstructured data
** to support AI and agentic solutions, including preprocessing techniques such as extraction, chunking, embedding, and grounding (e.g., RAG, retrieval frameworks)

+ Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practices

+ Implement and optimize  
** Retrieval-Augmented Generation (RAG) architectures
** and integrate them with enterprise data platforms

+ Design, build, and optimize  
** scalable batch and streaming data pipelines
** with a focus on performance, resiliency, and operational efficiency

+ Develop and maintain  
** real-time data streaming pipelines
** using technologies such as Snowpipe

+ Develop  
** data domains and data products
** to support reporting, analytics, AI/ML, and data science use cases

+ Ensure the  
** reliability, availability, and scalability
** of data pipelines through monitoring, alerting, and incident management

+ Implement reliability engineering best practices, including  
** fault tolerance, redundancy, and disaster recovery*
* + Drive engineering discipline across data platforms, including  
** observability, data quality, lineage, and governance*
* + Collaborate with Dev Ops and infrastructure teams to enable  
** seamless deployment and operation of data systems*
* + Partner with cross-functional teams to integrate data and AI solutions into business processes and enterprise systems

+ Provide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practices

+ Develop and integrate  
** graph database solutions
** to support complex data relationships within AI systems

+ Apply GenAI approaches to  
** insurance-specific data use cases and challenges*
* + Lead the development of  
** AI-ready data foundations
** that support scalable, production-grade solutions

+ Ensure data platforms remain  
** resilient, governed, and cost-efficient** , aligned with enterprise cloud and data strategies

+ Mentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standards

+ Stay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolution

** Skills*
* + Strong technical expertise in  
** AI-driven data solutions leveraging modern cloud platforms*
* + Deep expertise in  
** core data engineering** , including advanced SQL, data modeling, and query performance tuning

+ Strong experience in  
** ETL/ELT architecture, orchestration frameworks, and pipeline optimization*
* + Experience working across teams with strong  
** communication and stakeholder management
** skills

+ Proven ability to mentor and develop  
** AI and data engineering talent*
* + Knowledge of  
** emerging AI and data engineering design patterns*
* + Strong planning, organization, and execution capabilities

+ Ability to lead in a  
** lean, agile, and fast-paced environment** , leveraging Scaled Agile practices

+ Strong analytical and problem-solving skills with the ability to translate  
** business requirements into technical solutions*
* + Demonstrated leadership capability to  
** own architecture decisions and drive cross-team alignment*
* + Effective collaboration, decision-making, and relationship-building skills

+ Strong interpersonal skills with the ability to provide  
** thought leadership
** in a dynamic environment

** Qualifications*
* + Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

+ Bachelor's degree in Computer Science, Artificial Intelligence, or a related field

+ 8+ years of data engineering experience with deep expertise in  
** SQL, data modeling, and large-scale data processing…