Lead Data Engineer - Gen AI

Lead Data Engineer - Gen AI

Join to apply for the Lead Data Engineer - Gen AI role at Travelers
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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.

The annual base salary range for this position is nationwide. The actual salary will be determined by factors such as scope, complexity, location, skills, education, training, credentials, experience, and other conditions of employment. Employees are also eligible for performance-based cash incentive awards.

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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.

• 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, 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.

• 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.

• 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 technical leadership experience.

• 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…