AVP Data Engineering - GE05AE
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.
We are seeking a highly skilled and experienced Data and Technology leader, Assistant Vice President (AVP) of AI and Data Engineering, to join our dynamic team. The AVP will lead the development and implementation of advanced AI and data engineering solutions to drive business transformation and enhance customer experiences. This Technology leader will manage a team of 80+ data engineers.
This role requires a strategic thinker with a deep understanding of AI technologies, data engineering practices, and the ability to lead cross-functional teams. The ideal candidate will have a strong background in real-time data streaming, expertise in building complex agentic frameworks, Data APIs, vector stores, graph knowledge bases, and Retrieval-Augmented Generation (RAG) architectures, and a proven track record of enabling self-serve analytics and AI use cases.
This role can have a Remote or Hybrid work arrangement. Candidates who live near one of our office 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 will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

QUALIFICATIONS:

• 15+ years of experience in data engineering, design, and development of large-scale data ecosystems and delivery experience.
• 2+ years of Data Science and Deep Learning exposure.
• Mastery level Data Engineering and Architecture skills – a deep understanding of data architecture patterns, data warehouse, integration, data lake, data domains, data products, BI, and cloud technology capabilities.
• Experience integrating ML solutions with cloud platforms like AWS SageMaker, GCP Vertex AI and leveraging their pre-built capabilities.
• Technical expertise in: Large Language Models (LLMs) and Generative AI platforms (Anthropic, OpenAI), Prompt engineering and LLM optimization techniques, Retrieval-Augmented Generation (RAG) architectures, Vector database implementations (Vertex AI, Postgres, OpenSearch, Pinecone etc.),AI Agent development and orchestration, Enterprise API development and integration.
• Experience handling model hallucinations, experience with grounding and ranking APIs.
• Experience with GCP, Cloud AI, Vertex AI, and Big Query strongly preferred
• Hands-on experience in Lang chain and building AI agents is a must.
• Experience in Vertex AI agent builder and Google Agent space.
• Knowledge in building hybrid data lake-houses involving more than one cloud vendor partner.
• Strong communication skills to describe and explain complex AI/ML concepts and models to business leaders.
• Strong understanding of traditional machine learning algorithms and their applications.
• Expertise in computer vision, including object detection, image segmentation, and image recognition.
• Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.
• Understanding of Generative AI concepts and LLM Models tailored to a wide variety of automotive applications.
• Hands-on experience with unstructured data mining and content summarization.
• Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.