Senior Software Engineer – AI Agents & Harnesses

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 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.

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

$139,400.00 - $230,000.00

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.

What Will You Do? 

• 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. 

What Will Our Ideal Candidate Have? 

• 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 TypeScript—particularly for candidates building AI integrations. 
• Hands-on experience 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 GitHub 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 LangGraph experience. 
• Observability tooling and distributed tracing in production environments experience. 
• Zero-trust security principles and secure-by-design development practices when building and deploying enterprise systems experience. 
• Experience operating across multiple projects at once.

What is a Must Have?

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 6 additional years of software engineering experience.