Jobs / United States / Travelers Indemnity Company
Software Engineer II – AI Agents & Harnesses
Travelers Indemnity Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Travelers Indemnity Company paid sponsored hires in similar roles15 certified filings for “Software Engineer II” (Software Developers) in CT: $127k–$165k, median $158k. Most were filed at wage level III (60%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Travelers Indemnity Company
The US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Travelers Indemnity Company →
About the role
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. 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 $120,400.00 - $198,700.00 Target Openings 2 What Is the Opportunity? What Is the Opportunity? 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 Software Engineer II in the Enterprise AI Platforms organization to join our team focused on delivering the agent harnesses and platform capabilities that enable and accelerate the development of generative AI applications across the enterprise. • Will embed with partner teams to accelerate high-priority agentic delivery, moving to where the need is greatest and leaving those teams able to sustain the work. Engineers at this level work across the full architecture of product delivery from requirements gathering to maintenance and enhancement of existing systems. • Will lead solution design for assigned workstreams, participate in stakeholder conversations, and build collective ownership across engineering, architecture, and product. • This role is for engineers who become productive quickly in unfamiliar codebases and who bring production-ready delivery experience to a fast-paced environment. What Will You Do? • Design and deliver production-grade harness capabilities that engineering teams leverage to build and deploy generative AI applications. • Drive architecture and system design for agentic components across multiple teams, advancing the technical patterns and engineering standards adopted across the enterprise. • Help teams align to enterprise standards and practices in source code management, testing, CI/CD, and modern engineering principles. • Advance test automation and raise the quality bar on the harness and the systems it serves. • Apply systems thinking to identify and resolve the cross-team dependencies and bottlenecks that slow delivery down. • Mentor engineers inside and outside the team and contribute reusable capabilities rather than one-off solutions. • Engage directly in stakeholder conversations and translate technical direction into terms the business can act on. • Participate in cross-organizational engineering events and technical forums to share harness patterns and practices across the enterprise. • Perform other responsibilities as assigned. What Will Our Ideal Candidate Have? • 4+ years of hands-on software development experience, including demonstrated production delivery of AI solutions you have supported at scale. • Proficiency in Python , with experience in additional languages such as TypeScript, particularly for building AI integrations. • Hands-on experience building, deploying, and evaluating generative AI applications, including the run