AI Platform Delivery Director

MassMutual

AI platform engineering director leading infrastructure delivery at MassMutual, an insurance company. Managing engineers, roadmap execution, cloud-native architecture, and AI/ML platform operations.

Posted 8/5/2026full-timeBoston • Massachusetts, New York • 🇺🇸 United StatesLead💰 $148,300 - $194,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing AI platform development teams, with a focus on hiring, performance management, and fostering a high-trust culture. Proficient in driving execution of complex platform initiatives and upholding engineering standards while effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

People ManagementCloud-Native ArchitectureAI/ML InfrastructureEngineering StandardsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringKubernetesAWSGCPAzureModel ServingInference PipelinesAgentic SolutionsLLM Integration PatternsPerformance Management

Soft Skills

Team LeadershipCoachingCommunicationProblem SolvingCollaboration

Tools & Technologies

Cloud ServicesNetworkingMulti-Tenancy PatternsDocumentation ToolsOn-Call Practices

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAdvanced Educational Degree Preferred

Industry Keywords

AI SafetyModel EvaluationGovernance FrameworksOpen-Source ContributionsInternal Developer Platform

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetes

About the role

Key responsibilities & impact

Own people leadership for the AI Platform development team, including hiring, onboarding, performance management, and career development
Drive execution against the AI platform roadmap by translating strategic priorities into sprints and milestones
Participate in architecture discussions and design reviews for agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines
Set and uphold standards for code quality, reliability, on-call practices, and operational maturity
Report team progress, risks, and resourcing needs to senior stakeholders
Communicate technical trade-offs to different audiences
Advocate for team wellbeing and growth, remove blockers, and build a high-trust culture
Raise the team’s technical craft through design reviews and documentation habits
Partner with AI engineering, product, cloud engineering, and technical leadership teams across the enterprise

Requirements

What you’ll need

3+ years of experience as a people manager of software, platform, or infrastructure engineers
5+ years of overall software engineering experience
Track record of hiring, coaching, and retaining strong engineers
Experience leading teams through ambiguous, fast-moving priorities
Working knowledge of cloud-native architecture, including Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure
Ability to lead complex, multi-month platform initiatives from whiteboard to production
Exposure to AI/ML infrastructure, including model serving, inference pipelines, agentic solutions, or LLM integration patterns
Experience setting and upholding engineering standards across a team
Strong communication and written documentation skills
Bachelor’s degree in computer science, engineering, or a similar discipline
Must be able to work in the US without sponsorship now or in the future
Experience leading an internal developer platform from scratch is ideal
Familiarity with AI safety, model evaluation, and governance frameworks is ideal
Open-source contributions to platform or ML infrastructure tooling are ideal
Advanced educational degree preferred

Benefits

Comp & perks

Industry leading pay and benefits
Incentive and bonus opportunities
Bonus target or Variable Incentive Compensation component
Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
Access to learning content on Degreed and other informational platforms
Inclusive, vibrant and diverse culture
Flexible hybrid work environment
Accommodation support during the application process