Senior Software Engineer – AI Agents & Harnesses

Compensation Overview

As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. 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.

Salary Range: $ - $

1

As a member of the Enterprise AI and Emerging Technology organization at Travelers, you’ll be joining a strategic and collaborative team focused on transforming our business and technology capabilities leveraging best in class AI-enabled technology.

• We’re looking for a Sr. Software Engineer in the Enterprise AI Platforms organization to join our team focused on delivering enterprise platform capabilities that enable and accelerate the development of generative AI applications.
• Will serve as a technical leader in the organization who is responsible for shaping architecture decisions and delivering technical features across the enterprise.
• Engineers at this level work across the full architecture of product delivery from requirements gathering to maintenance and enhancement of existing systems.
• Will lead stakeholder conversations, shape the technical direction of initiatives, and build collective ownership across engineering, architecture, and product.
• This role is for engineers who bring deep, production-ready delivery experience to the table and who can anticipate the needs of the business in a fast-paced environment.

• Design, lead, and own the delivery of production-grade platforms that engineering teams leverage to build and deploy generative AI applications
  .
• Drive architecture decisions and system design across multiple teams, establishing and advancing the technical patterns,
  engineering standards
  , and practices adopted across the enterprise.
• Lead stakeholder conversations
  , translate technical capabilities into clear business value
  , and identify opportunities where technology can drive measurable business outcomes
  .
• Think proactively about the technical strategy of the Enterprise AI Platforms organization.
• Participate in and lead cross-organizational engineering events and technical forums to share knowledge across the enterprise.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  .
• 6+ years of hands-on software development experience, including demonstrated production delivery of AI solutions
  .
• Proficiency in Python
  , with experience in additional languages such as Type Script —particularly for candidates building AI integrations.
• Hands-on experience in building and deploying generative AI applications.
• Hands-on experience with AWS and/or Azure cloud services.
• Hands-on experience with containerization and orchestration tools, including Kubernetes
  .
• Hands-on experience with CI/CD tooling such as Git Hub Actions or Jenkins.
• Hands-on experience designing, delivering, and maintaining large, distributed, production-grade applications in an enterprise setting.
• Demonstrated ability to lead architecture and solution design across teams in agile, collaborative development environments.
• Strong communication skills with the ability to lead technical conversations with non-technical business stakeholders and translate complex capabilities into measurable business outcomes.
• Leverages domain expertise to improve enterprise- and organization-level capabilities.
• A leader by example who delivers technical features and naturally engages with other leaders across organizations and disciplines.
• Experience deploying third-party vendor software in a highly regulated enterprise environment.
• Terraform for provisioning cloud infrastructure experience.
• Helm for Kubernetes application deployment experience.
• Evaluating generative AI applications experience.
• OSS agent frameworks such as Strands Agents and Lang Graph…