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Data Engineer - Generative AI

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 CategoryData AnalyticsCompensation OverviewThe 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 - $203,000.00Target Openings2What 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 complianceWhat is a Must Have?• Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.• Four years of data engineering or equivalent experience.What Is in It for You?• Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.• Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.Employment PracticesTravelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.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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What You Should Know About Data Engineer - Generative AI, Travelers

Join Travelers in Hartford, CT as a Data Engineer specializing in Generative AI, where your role will drive cutting-edge innovation in insurance technologies. Imagine being part of a vibrant team that's dedicated to pioneering Generative AI solutions across global operations. You will engage with state-of-the-art technology, implementing AI applications that extract insights from unstructured data, enhancing business processes and customer experiences in diverse markets. Your responsibilities include designing and operationalizing complex data solutions, developing secure data pipelines, and building and maintaining vector database infrastructures. You'll work collaboratively with brilliant minds across international teams, ensuring adherence to data governance and compliance standards while performing thorough data analysis and system troubleshooting. As part of Travelers' community, you’ll enjoy a culture rooted in support and celebration of each other’s contributions. With a strong focus on innovation, this position not only offers the chance to reshape the future of insurance technology but also gives you a platform to genuinely make an impact in a meaningful way. If you’re ready to shape tomorrow's solutions, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer - Generative AI Role at Travelers
What are the key responsibilities of a Data Engineer at Travelers?

As a Data Engineer at Travelers, your primary responsibilities include designing complex data solutions, operationalizing data pipelines, performing data analysis, and supporting the development of Generative AI applications. You'll also be tasked with collaborating with cross-functional teams to implement secure, compliant data infrastructures that streamline processes and enhance customer experiences.

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What qualifications are required for the Data Engineer position at Travelers?

To qualify for the Data Engineer role at Travelers, candidates must hold a Bachelor’s degree in Computer Science or a related field, alongside at least four years of data engineering experience. Expertise in Large Language Models (LLMs), cloud infrastructure, and data processing tools is essential, along with strong cross-cultural communication skills and a proven track record of supporting AI initiatives.

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What technologies should a Data Engineer at Travelers be proficient in?

A Data Engineer at Travelers should be well-versed in technologies such as AWS services, LLM deployment strategies, vector databases, and real-time data processing systems. Additional proficiency in programming languages like Python, SQL, and experience with Agile methodologies will greatly enhance your ability to succeed in this role.

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What are the benefits of working as a Data Engineer at Travelers?

Working as a Data Engineer at Travelers comes with a range of benefits, including comprehensive health insurance, a generous retirement plan with 401(k) matching, paid time off starting at 20 days annually, and access to wellness programs. Moreover, the supportive community encourages involvement in volunteer activities, reinforcing the company's commitment to making a positive impact.

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How does the role of Data Engineer at Travelers contribute to Generative AI initiatives?

In the Data Engineer role at Travelers, you play a crucial role in advancing Generative AI initiatives through the design and development of innovative AI applications. Your work will help to identify valuable insights from data, leading to transformative solutions that improve overall service delivery within the insurance industry.

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Common Interview Questions for Data Engineer - Generative AI
How do you approach designing data pipelines for AI applications?

When designing data pipelines for AI applications, it’s essential to focus on scalability, security, and compliance. Start by understanding data sources and storage requirements, and then define clear data flow processes. Prioritize building robust monitoring systems to ensure reliability and performance, while adhering to best practices in data governance throughout the pipeline.

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Can you explain your experience with large language models?

Absolutely! My experience with large language models includes deploying LLMs for various applications, optimizing their performance through prompt engineering, and building interfaces that leverage these models for retrieving and generating valuable data insights. I always prioritize understanding how to fine-tune these models for specific business needs.

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What data management strategies do you implement for data quality?

To ensure data quality, I implement thorough data validation frameworks that include cleansing, monitoring, and transformation checks. I also emphasize proper documentation of data lineage and establish governance practices that enforce accountability and accessibility within data teams.

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How do you ensure regulatory compliance when working with data?

Ensuring regulatory compliance starts with understanding the legal frameworks applicable to the regions we're operating in. I work closely with compliance teams to implement robust data governance practices, ensure transparency in data usage, and utilize secure coding and architecture to protect sensitive information.

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Describe your experience with cloud services relevant to data engineering.

I have hands-on experience with AWS services, particularly in deploying and managing data pipelines through tools like AWS Lambda and S3. My background includes working with container orchestration using Kubernetes, leveraging infrastructure-as-code with Terraform, and utilizing MLOps practices to maintain continuous integration and deployment within cloud environments.

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How do you handle data integration from multiple sources?

Handling data integration from multiple sources requires a detailed strategy, including ETL/ELT processes that effectively combine data into a cohesive dataset. I utilize data mapping to ensure consistency, automate integration workflows, and monitor for discrepancies to maintain high data integrity.

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What experience do you have with API development for data services?

I have extensive experience in developing APIs that support data services, ensuring they are robust, scalable, and secure. My focus is on designing RESTful APIs that facilitate seamless integration with front-end applications and third-party services, while adhering strictly to security practices throughout the development lifecycle.

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Can you discuss a challenging data problem you've solved?

One of the most challenging data problems I faced involved optimizing a data pipeline that was experiencing latency issues. I conducted a thorough analysis, identified bottlenecks, and implemented streamlined data processing techniques, which ultimately improved our data retrieval speeds and reliability significantly.

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How do you stay current with trends in Data Engineering and AI?

I stay current with trends in Data Engineering and AI by following industry-leading publications, participating in relevant online forums, and engaging in professional development courses. Networking with peers also helps expose me to new tools and methodologies that can enhance my work and knowledge.

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What role do you think collaboration plays in a Data Engineer's job?

Collaboration is pivotal in a Data Engineer's role, as it allows for diverse ideas and solutions to flourish. Frequent communication with cross-functional teams provides insights into their needs, ensuring that the data solutions developed are aligned with business objectives and enhance overall efficiency.

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DATE POSTED
April 22, 2025

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