AVP, Applied AI and Engineering

Travelers

. Lead a hands-on engineering lab that re-engineers EDDA software and data delivery workflows with AI .

Posted 11/10/2026full-timeUnited StatesLead💰 $173,700 - $286,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-Enabled Software Development Life Cycle (SDLC) and engineering practices, with a focus on delivering high-quality, scalable solutions in SaaS and enterprise platforms. Proven ability to lead diverse teams, manage technical resources, and align engineering efforts with business priorities.

Highest-signal resume keywords

AI-Enabled SDLCCloud-Based SolutionsMicroservices ArchitectureTechnical LeadershipEngineering Delivery Metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData Pipeline EngineeringApplication DevelopmentTestingDevSecOpsAI Engineering PracticesEngineering WorkflowsTechnical Metrics DevelopmentArchitecture DesignQuality Assurance

Soft Skills

Excellent CommunicationStrong Problem-SolvingLeadership SkillsCollaborationInfluencing Executive Leadership

Tools & Technologies

SalesforceGenesysAI ToolsCloud Platforms

Industry Keywords

Insurance IndustryFinancial ServicesApplied AIBusiness-Aligned Solutions

Tech Stack

Tools & technologies

CloudMicroservicesSDLC

About the role

Key responsibilities & impact

Lead a hands-on engineering lab that re-engineers EDDA software and data delivery workflows with AI
Prove AI-enabled engineering patterns end to end across data pipeline engineering, application development, testing, release and site reliability
Partner with enterprise groups and EDDA leadership to align priorities and collaborate on delivery direction
Codify lab work into reusable patterns, code assets, scripts and playbooks
Embed AI engineering practices into EDDA product and platform teams
Develop AI-assisted engineering patterns for SaaS and enterprise platforms including Salesforce and Genesys
Own the AI-Enabled SDLC experimentation agenda and determine which use cases scale or stop
Set AI-Enabled SDLC standards and engineering productivity practices across requirements, architecture, coding, testing and DevSecOps
Set the annual Applied AI agenda with EDDA leadership
Redesign engineering workflows around AI and agents and track measurable outcomes such as cycle time, throughput, quality and cost
Establish and run a rotational program for engineers, including goals, OKRs and a certification path
Build collaborative relationships with EDDA teams and influence executive-level leadership
Lead and develop a diverse and inclusive Applied AI & Engineering team
Manage technical resource allocation, capacity planning, delivery and financial tracking, onboarding, performance management and offshore structure
Partner with the PMO to run the lab operating cadence, success criteria, reviews, measurement and escalation protocols
Perform other duties as assigned

Requirements

What you’ll need

Ten years of related experience, including insurance / financial services industry experience
Demonstrated experience implementing current technology trends and techniques, such as cloud-based solutions leveraging microservices
Excellent delivery skills and ability to assess software design strategies and methodologies
Ability to devise, apply and share methods to ensure the quality of complex computer systems
Ability to develop widely used technical metrics for engineering delivery
Demonstrated domain expertise consulting on business priorities and optimizing value through business-aligned solutions
Strong problem-solving skills, including creating architecture robust against single points of failure
Excellent communication skills, including explaining technology concepts to business stakeholders and documenting effectively
Strong leadership skills and ability to engage leaders, solve problems, share knowledge and create development opportunities
Bachelor’s degree in computer science, related STEM field, or equivalent in education and/or work experience
8 additional years of software engineering experience
3 years of technical leadership experience

Benefits

Comp & perks

Performance-based cash incentive awards
Health insurance for employees and eligible family members from the first day of employment
401(k) dollar-for-dollar matching up to the first 5% of eligible pay, subject to an annual maximum
Paying it Forward Savings Program contributions toward a 401(k) account for employees with student loan debt
Pension Plan 100% funded by Travelers
Minimum of 20 days Paid Time Off annually
Nine paid company Holidays
Wellness program with tools, discounts and resources
Mental health program with free professional counseling services, health coaching and other resources
Matching Gift and Volunteer Rewards program
Equal opportunity employment