Software Engineer II, Enterprise Agentic AI

Travelers • Hartford, CT

15d

About The Position

Join the Enterprise AI and Emerging Technology organization at Travelers! This is an opportunity to be part of a dynamic team of engineers passionate about applying artificial intelligence to change the insurance industry. Travelers is seeking a talented Software Engineer II to join our innovative team as we transform our Technology landscape. This role will be instrumental in establishing enterprise standards, architectural patterns, and foundational infrastructure to enable agentic AI systems to operate securely and effectively at scale. You'll design and build critical platforms including MCP (Model Context Protocol) servers, registries, gateway services, and orchestration frameworks that power AI-driven automation across our organization. The ideal candidate brings expert-level Python programming skills with a proven track record of delivering enterprise-grade solutions to production. You should be experienced with cloud platforms (AWS or Azure), familiar with Kubernetes concepts, and passionate about emerging AI technologies. Knowledge of Model Context Protocol and generative AI is a strong plus. Working within an agile team, you'll tackle advanced end-to-end engineering challenges, from designing cloud-native architectures and developing AI integration layers to implementing infrastructure as code, testing agentic workflows, and establishing robust observability patterns for AI systems.

Requirements

• Advanced proficiency in Python with experience using modern frameworks and best practices for building production-grade services and AI integrations
• Hands-on experience with cloud platforms, particularly AWS or Azure services and architecture in production environments
• Solid understanding of Kubernetes concepts and container orchestration patterns
• Experience building APIs, microservices, and distributed systems with focus on reliability, security, and scalability
• Experience with Terraform or similar IaC tools for managing cloud infrastructure
• Strong architectural thinking with ability to design systems that balance innovation with maintainability; experience debugging distributed systems and addressing novel challenges in AI operations
• Strong communication skills with ability to explain complex technical concepts to diverse audiences, document architectural decisions clearly, and translate ambiguous requirements into actionable technical plans
• Collaborative mindset with ability to work across data science, engineering, and business teams, fostering productive partnerships
• Self-motivated contributor who actively identifies opportunities to improve team practices, mentors others in cloud-native and AI technologies, and helps shape the technical direction of emerging AI initiatives
• Responsible AI awareness with understanding of AI governance, ethical considerations, and responsible AI practices
• Bachelor’s degree or its equivalent in work experience.
• Two years of programming/development experience.

Nice To Haves

• Knowledge of generative AI technologies, large language models (LLMs), and emerging agentic AI frameworks
• Familiarity with Model Context Protocol (MCP) for AI agent communication and tool integration (or enthusiasm to learn)

Responsibilities

• Design and develop enterprise-grade infrastructure for agentic AI systems, including MCP registry and gateway services, MCP servers, and orchestration platforms that enable secure, scalable AI agent deployments
• Help define and implement architectural patterns and best practices for agentic AI integration across Travelers' technology landscape, serving as a technical advisor to product teams
• Build and maintain cloud-native solutions leveraging container orchestration
• Develop Python-based services and frameworks that facilitate AI agent communication, tool integration, and workflow management using MCP standards
• Establish observability, health monitoring, and alerting patterns specific to agentic AI systems, ensuring reliability and transparency in autonomous operations
• Provide technical guidance and mentorship to engineers adopting agentic AI patterns and contribute to internal knowledge bases and documentation
• Stay current with rapidly evolving generative AI technologies, agentic frameworks, and industry best practices, bringing innovative solutions to the team
• Work autonomously to analyze, assess, and resolve sophisticated defects and incidents, demonstrating strong problem-solving skills within our collaborative agile environment

Benefits

• Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
• Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees