# MassMutual — AI Platform Delivery Director

## Posting metadata

- Generated: 2026-08-26 05:35:44 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4457270117/
- First-party/underlying posting: https://careers.massmutual.com/job/boston/ai-platform-delivery-director/724/98803698384
- Provider: LinkedIn
- LinkedIn job ID: 4457270117
- Work model/location: Hybrid — Boston or Springfield, Massachusetts; three office days per week
- Posted: LinkedIn repost displayed approximately six hours old at evaluation; first-party posting dated August 5, 2026
- Applicants: LinkedIn displayed fewer than 25 applicants
- Compensation: $148,300-$194,600 base
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 92% weighted capability coverage

## Direct-match strengths

AI platform leadership, cloud architecture, GenAI and agentic systems, governance, enterprise communication, people leadership, and operational excellence.

## Hard or material gaps

Hard compensation failure: the verified first-party maximum of $194,600 is below Keith's required $200,000 maximum-range floor.

## Evidence map

1. AI platform leadership — direct through AssistX, SuccessKPI, AWS, and MassMutual.
2. People leadership — direct hiring, coaching, and team development across organizations of 7, 11, 24, and 25.
3. Cloud and platform architecture — direct AWS, Kubernetes, distributed-systems, and internal-platform evidence.
4. GenAI and agentic systems — direct production LLM, RAG, agent, orchestration, and Bedrock evidence.
5. Operational excellence — direct CI/CD, monitoring, reliability, governance, and production-delivery evidence.
6. Compensation — hard conflict because $194,600 is below the required $200,000 ceiling threshold.

## Full normalized job description

AI Platform Delivery Director

📍 Location: Springfield, MA, US

🏢 Industry: Financial Services

💼 Work Setting: Hybrid

Are you a people-first engineering leader with deep experience in cloud platforms, infrastructure engineering, and AI/ML systems? This role offers the opportunity to build and scale the platform behind MassMutual's AI initiatives while leading a high-performing engineering organization focused on reliability, developer experience, and operational excellence.

As Engineering Director, you will own team leadership, engineering execution, talent development, and platform delivery while partnering closely with technical and business stakeholders to accelerate AI adoption across the enterprise.

Key Responsibilities

Engineering Leadership & Talent Development

Team Leadership

Lead, inspire, and support a team of AI platform engineers.

Create a culture focused on:

Trust

Accountability

Innovation

Continuous Learning

Talent Management

Own the complete employee lifecycle:

Hiring

Onboarding

Coaching

Performance Management

Career Development

Retention

Team Growth

Develop engineering talent and leadership capabilities.

Create growth opportunities through mentorship and feedback.

Foster technical excellence and professional development.

AI Platform Execution & Delivery

Roadmap Ownership

Drive execution against the AI platform roadmap.

Translate strategic objectives into:

Sprint Plans

Milestones

Delivery Roadmaps

Execution Priorities

Program Leadership

Lead large-scale platform initiatives from concept through production deployment.

Manage risks, dependencies, and resource allocation.

Ensure successful delivery of strategic AI platform capabilities.

Cross-Functional Coordination

Partner closely with:

AI Engineering Teams

Product Management

Cloud Engineering

Enterprise Architecture

Security Teams

Business Stakeholders

Technical Leadership

Architecture Oversight

Remain actively engaged in technical decisions involving:

Agent Runtime Infrastructure

LLM Integration Frameworks

Tool & Plugin Registries

AI Agent Platforms

Context & Memory Management Systems

Observability Pipelines

Distributed Services

Design Reviews

Participate in architectural discussions and technical reviews.

Provide feedback on platform scalability, reliability, and maintainability.

Influence long-term technical direction.

Technical Credibility

Guide engineering decisions without necessarily contributing production code daily.

Help teams balance engineering quality with delivery speed.

Platform & Infrastructure Strategy

Cloud-Native Platforms

Support architecture and strategy across:

Kubernetes

AWS

Azure

Google Cloud Platform (GCP)

Multi-Tenant Platforms

Cloud Networking

AI Infrastructure

Help shape systems supporting:

Model Training Pipelines

Model Deployment

Inference Services

Agentic AI Workflows

Retrieval Systems

AI Development Environments

Internal Developer Experience

Improve platform usability for engineering teams.

Advocate for developer productivity and self-service capabilities.

Drive adoption of platform engineering best practices.

Engineering Excellence & Operational Maturity

Quality Standards

Establish and maintain standards for:

Code Quality

Testing

Documentation

Security

Reliability

Operational Readiness

Operational Excellence

Improve incident management processes.

Strengthen on-call practices.

Support observability and monitoring initiatives.

Drive platform stability and performance.

Governance

Promote architecture consistency and engineering governance.

Ensure teams follow established technical standards and best practices.

Stakeholder Management

Executive Communication

Provide clear reporting regarding:

Progress

Delivery Status

Risks

Resource Needs

Strategic Recommendations

Technical Translation

Explain technical concepts to business leaders.

Communicate tradeoffs and architectural decisions effectively.

Help stakeholders understand platform priorities and constraints.

Organizational Influence

Build alignment across technical and business teams.

Influence platform strategy and enterprise AI direction.

Foster collaboration across engineering organizations.

Culture & Team Advocacy

Team Support

Remove organizational and technical roadblocks.

Ensure engineers can focus on high-impact work.

Advocate for resources and support required for team success.

Documentation & Knowledge Sharing

Promote strong documentation practices.

Encourage peer learning and technical collaboration.

Create an environment centered around transparency and shared ownership.

High-Trust Culture

Build psychological safety within the team.

Encourage candid feedback and constructive debate.

Strengthen collaboration and accountability.

Required Qualifications

Education

Bachelor's Degree in:

Computer Science

Engineering

Information Technology

Related Technical Discipline

Work Authorization

Must be authorized to work in the United States without sponsorship now or in the future.

Experience

Leadership Experience

3+ years managing software, platform, or infrastructure engineering teams.

Proven experience hiring, coaching, and developing engineers.

Technical Background

5+ years of software engineering experience.

Strong technical foundation in cloud and platform engineering.

Program Leadership

Experience leading complex multi-month platform initiatives from concept through production deployment.

Demonstrated ability to manage ambiguity and organizational complexity.

Required Technical Skills

Cloud Infrastructure

Strong working knowledge of:

Kubernetes

AWS

Azure

GCP

Cloud Networking

Multi-Tenant Architectures

AI & ML Platforms

Experience with:

AI Infrastructure

Model Serving

Inference Pipelines

LLM Integration

Agentic AI Solutions

Machine Learning Platforms

Platform Engineering

Internal Developer Platforms

Infrastructure Automation

Platform Operations

Observability Frameworks

Reliability Engineering

Preferred Qualifications

Internal Developer Platforms (IDP)

Experience building and leading Internal Developer Platform initiatives from the ground up.

Strong focus on developer experience and platform adoption.

AI Governance & Safety

Knowledge of:

AI Safety

Model Evaluation

Responsible AI Practices

Governance Frameworks

Open Source

Contributions to platform engineering or AI infrastructure projects.

Participation in open-source communities.

Advanced Education

Master's Degree or other advanced technical degree preferred.

Key Skills

Engineering Leadership

AI Platform Engineering

Cloud Infrastructure

Kubernetes

AWS

Azure

GCP

Platform Engineering

Machine Learning Infrastructure

Generative AI

Agentic AI

Developer Experience

Core Competencies

Leadership

Strategic Thinking

Technical Judgment

People Development

Communication

Organizational Influence

Decision Making

Collaboration

Innovation

Operational Excellence

## Artifact metadata

- Resume and cover letter: Not generated because the role failed hard gates.
- Google Drive used: No