Lead Data Engineer - Gen AI

Who Are We?

Is this the role you are looking for If so read on for more details, and make sure to apply today.

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 170 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.

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

$ - $

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Lead Data Engineer you will work with business partners to modernize design standards and development practices to grow and transform our analytics landscape. Your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data will support Artificial Intelligence, Machine Learning and business intelligence/insights.

As a data and technology subject matter expert you will influence strategy, support delivery, and translate complex data into user-friendly terminology to educate end users on data products and the analytic environment.
Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.

What Will You Do?

Lead Design, development configuration, and/or maintenance for Gen AI applications, including data ingestion, processing, storage, and analysis

Support the creation of Gen AI products within our cloud environments

Guide and coach technical team members

Collaborate with tech/ data partners, business stakeholders, data scientists and engineers to create Retrieval-Augmented Generation (RAG) solutions and integrate LLM models into production-grade applications.

Develop APIs and microservices to facilitate data access and integration across various components of the Gen AI platform.

Implement best practices for code quality, testing, and documentation to ensure the reliability, maintainability, and scalability of our software systems.

Stay up-to-date with the latest trends and technologies in data engineering and Gen AI, applying them to enhance our platform.

Perform other duties as assigned.

What Will Our Ideal Candidate Have?

Bachelor's degree in Computer Science, Engineering, or a related field;
Master's degree preferred.

Ten years of programming/development experience preferred.

Four years of Tech leadership experience

Proven experience as a Full Stack Designer / architect or similar role, with a strong focus on data engineering and Gen AI applications.

Proficiency in programming languages such as Python and SQL.

Familiarity with cloud platforms such as AWS and related services (e.g., AWS Lambda, S3, EC2, RDS, Redshift).

Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS.

Strong understanding of database systems and data processing frameworks (e.g., SQL, No

SQL, Spark, Databricks).

Good understanding and experience of Gen AI concepts like Agentic Frameworks, RAG, LLM, Chunking, and Hyper-parameters.

Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Strong communication and interpersonal skills, with the ability to effectively interact with cross-functional teams.

What is a Must Have?

Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
7 additional years of data engineering experience.
2 years of…