Who Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
Data Analytics
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$123,000.00 – $203,000.00
Target Openings
2
What Is the Opportunity?
Join Travelers’ International Data Engineering team to pioneer innovative Generative AI solutions across our global operations. As a Data Engineer, you’ll design and implement cutting-edge AI applications, creating transformative solutions to extract valuable insights from unstructured data, streamline business processes, and enhance customer experiences across our Canadian and European markets.
In this role, you’ll build enterprise-scale AI applications and design intelligent AI agents while collaborating with cross-functional teams to solve complex business challenges. This position offers a unique opportunity to drive AI innovation in insurance, working with state-of-the-art technology while ensuring solutions meet international security and compliance standards. Join us in shaping the future of insurance technology on a global scale.What Will You Do?
• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Design and implement secure data pipelines to support LLM and GenAI applications across international markets.
• Build and maintain vector database infrastructure for efficient storage and retrieval of embeddings used in RAG applications.
• Develop APIs and integration layers for enterprise AI services, ensuring compliance with regional data protection requirements.
• Create and optimize data streaming architectures for real-time AI applications across multiple geographic regions.
• Implement monitoring and observability solutions for AI data pipelines to ensure performance and reliability across international operations.
• Collaborate with international teams to establish data governance practices for AI applications across different regulatory environments.
• Perform other duties as assigned.
What Will Our Ideal Candidate Have?
• 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 (Postgres, OpenSearch, Pinecone, or Weaviate)
– AI Agent development and orchestration
– Enterprise API development and integration
– Responsible AI and AI safety practices
– Data security and privacy frameworks
• Cloud and AI infrastructure experience:
– AWS services (especially Bedrock, Lambda, S3)
– LLM deployment strategies and integration
– Model serving and scaling techniques
– Container orchestration (Kubernetes/Docker)
– Infrastructure as Code (Terraform)
– MLOps and monitoring practices
• Data processing and storage:
– Snowflake and data warehouse technologies
– Real-time and batch processing systems
– ETL/ELT pipeline development
– Data quality and validation frameworks
– Vector embedding techniques
– Knowledge base creation and management
• Development practices:
– Python, SQL, and shell scripting
– API design and development
– Git and CI/CD pipelines
– Testing and monitoring frameworks
– Documentation and technical writing
– Agile/Scrum methodologies
• Additional qualifications:
– Bachelor’s degree in Computer Science or related field
– 3+ years of data engineering experience
– Strong cross-cultural communication skills
– Track record of supporting AI/ML initiatives
– Experience with AI governance and compliance
What is a Must Have?
What Is in It for You?
Employment Practices
Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve. We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
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