Travelers

Senior Software Engineer - AI Agents & Harnesses

$139KFull-time · GA - Atlanta
✓ Verified live on the employer's own system · added 4 days ago
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Senior · 6+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 6+ years

Skills & tools

Machine LearningMaintenanceProgrammingPythonJavascriptCloud PlatformsDevopsGit
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Full job description

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.

- 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 provisio ning 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.

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