Senior Architect - Operational Data Architecture & AI/ML - Personal Insurance

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

Technology

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

$135,700.00 - $223,900.00

Target Openings

1

What Is the Opportunity?

As a member of Enterprise Technology Solutions, you will be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class solutions.

As a Senior Architect, Generative AI supporting Personal Insurance, you will collaborate with technology and business leaders and apply your knowledge of modern technology to influence and innovate solutions that impact the business. In this role we will look to you to:

Be results-driven with strong architecture and engineering skills, and expertise in Data Architectures, Generative AI, Machine Learning, Cloud-native, APIs, and Event-driven architecture.

Be a person of high integrity, who believes in challenging the status quo when needed, while always first seeking to understand and be curious.

Architect and design AI/ML/LLM models and solutions, ensuring they meet business requirements and performance standards.

Stay abreast of the latest advancements in AI/ML technologies and methodologies, driving continuous improvement and innovation within the organization.

What Will You Do?

• Collaborate with Personal Insurance and technology leadership to develop architecture priorities and direction to enable business imperatives.
• Advocate for modern architecture principles and technology modernization.
• Drive continuous technology transformation to reduce technical debt.
• Partner with engineering to align skills with technology direction and execute proof of technologies.
• Analyze industry and technology trends to leverage advancements.
• Lead and define technology proof of concepts to validate architecture solutions.
• Engage in hands-on prototyping of new technology solutions.
• Define target state technology architecture and roadmaps.
• Align IT initiatives with the target state architecture.
• Communicate architectural direction and its alignment with enterprise strategy.
• Optimize talent strategy to ensure appropriate balance of resources.
• Continuously improve the efficiency and effectiveness of the architecture.
• Perform other duties as assigned

What Will Our Ideal Candidate Have?

Data Architecture Experience:
• Hands-onexperience in the last 3 years
• Experience modernizing data technology and information architecture on cloud
• Experience in AWS components including Lambda, Kinesis/Firehose, Airflow, Glue, Spark, EC2, SageMaker, S3, NoSQL database and API Gateway
• Experience in data streaming technologies
• Experience with No SQL and GraphQL technologies
• Experience in Data Modeling, Governance and Data Management
• Personal Insurance technology experience
• Experience with Data Governance and Management to enable data lineage, audit/ balance/ control, data domain and data quality projects
• Experienced with large scale technology platforms
• Experience modernizing data technology and information architecture on cloud
GenAI Experience:
• Experience with Large/Small Language Models (AWS Bedrock, OpenAI) in application architecture.
• Understanding of data preprocessing, augmentation, and handling large datasets.
• Familiarity with Responsible AI Framework.
• Knowledge of GenAI frameworks like Langchain, for building and deploying applicatio