Director, Software Engineering - Enterprise AI for Operations

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 160 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

$135,700.00 - $223,900.00

Target Openings

1

What Is the Opportunity?

Collaborative Environment, Transformational Projects, and a Growing Team!

As a member of Enterprise AI and Emerging Technologies, you’ll be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class technology.

As Director of Software Engineering within Enterprise AI and Emerging Technologies, you'll lead the development of cutting-edge AI solutions while maintaining a hands-on technical presence. This player-coach role balances strategic leadership with active coding, requiring you to guide teams through complex AI implementations while contributing directly to critical projects. You'll shape the future of AI adoption across the enterprise while building and mentoring high-performing engineering teams.

What Will You Do?

• Lead and develop engineering teams revolutionizing the insurance industry through the power of artificial intelligence, acting as a player-coach.
• Maintain hands-on technical involvement in engineering decisions, code reviews, and development of automation and AI solutions.
• Partner with stakeholders across the organization to identify and prioritize AI opportunities that drive business value.
• Contribute to engineering standards and best practices for AI development, deployment, and monitoring across teams.
• Mentor and develop engineers at all levels, conducting performance reviews and creating growth plans.
• Troubleshoot and resolve critical production issues, leading incident response when necessary.
• Champion uses of Artificial Intelligence across the enterprise through education, coaching, and advocacy.
• Manage resources effectively while balancing business objectives and the production of high-quality deliverables which adhere to standards and policies.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• 5 years of related experience; including insurance/financial services industry experience.
• Demonstrated track record implementing current technology trends and techniques in the Artificial Intelligence and cloud platforms (AWS/Azure), including Kubernetes, Python, Docker, AWS, LLMs, etc.
• Experience working with stakeholders to identify opportunities to educate on risks and opportunities in the delivery of AI-based solutions.
• Passion for Artificial Intelligence and for driving the adoption of AI-based technologies to improve business processes and outcomes.
• Critical-thinking engineering mindset and ability to triage problems which may be best solved by AI-solutions and those where more traditional solutions may be appropriate.
• Experience with enterprise-scale AI implementations.
• Experience with MongoDB or similar NoSQL databases.
• Background in building AI solutions for operational efficiency.
• Track record of successful stakeholder management and cross-functional collaboration.
• Delivery - Advanced delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
• Domain Expertise - Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers, specifically with Artificial Intell