Senior Software Engineer – AI Agents & Harnesses

Travelers•Hartford, CT

About The Position

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. This role 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. They 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.

Requirements

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.
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.

Responsibilities

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.