Head of AI-Driven Engineering & SDLC

Travelers; Hartford (CT); On-site; USD 174,000 - 287,000; Full time

Benefits offered by this job

Health Insurance

Retirement plan

Paid Time Off

Wellness program

Volunteer opportunities

Job summary

Travelers is seeking an AVP, Applied AI & Engineering to lead an engineering lab that re-engineers EDDA's software and data delivery with AI. You will drive adoption of AI engineering patterns, manage a lean team, and partner with EDDA leadership to align priorities across data, digital and analytics platforms.

You will own the AI-enabled SDLC standards, measure productivity gains, and oversee a rotational program that rotates engineers into the lab to build AI fluency across the organization.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of software engineering experience.
• 3 years of technical leadership experience.
• Experience in insurance/financial services is a plus.
• Excellent communication and leadership skills.

Responsibilities

• Leads a hands-on engineering initiative to re-engineer delivery workflows with AI across EDDA.
• Partners with enterprise groups to align priorities and ensure broad adoption of AI patterns.
• Codifies patterns into reusable assets and embeds them in delivery teams.
• Develops AI-enabled SDLC standards and productivity practices across the EDDA organization.
• Sets annual Applied AI agenda with leadership, focusing on high-value use cases.

Skills

Experience: 10+ years

Cloud microservices

SDLC leadership

Architectural design

Communication skills

Problem solving

Cross-functional

Tech leadership

Insurance domain

Data & AI basics

Education

Bachelor's degree in CS

Job description

Travelers is seeking an AVP, Applied AI & Engineering to lead an engineering lab that re-engineers EDDA's software and data delivery with AI. You will drive adoption of AI engineering patterns, manage a lean team, and partner with EDDA leadership to align priorities across data, digital and analytics platforms.

You will own the AI-enabled SDLC standards, measure productivity gains, and oversee a rotational program that rotates engineers into the lab to build AI fluency across the organization.