Director, Software Engineering - Developer Platforms and AI

GHX is building a new engineering capability to transform how our teams build and deploy healthcare supply chain solutions. As Director of Developer Platform & AI Enablement, you'll lead a small, high-impact team that embeds directly with product engineering teams to drive measurable productivity gains through AI-assisted development practices and modern cloud-native infrastructure patterns. 

This is a player-coach role. You'll spend the majority of your time (70-80%) embedded with application teams, writing code, architecting solutions, and proving out patterns. You'll pioneer how GHX leverages AI throughout the software development lifecycle while simultaneously playing a key role in our evolution toward cloud-native architecture and team-owned infrastructure. 

You'll be the technical leader who shows teams "what good looks like" rather than telling them—demonstrating measurable productivity gains through hands-on execution while building reusable patterns that scale across the organization. 

What You'll Do 

AI-Assisted Development Leadership

• Embed directly within product engineering teams to drive measurable improvements in developer productivity by integrating AI into daily workflow design, coding, testing, deployment, and operations 

• Lead tool selection and adoption strategy for AI development platforms (GitHub Copilot, Claude Code, Cursor, etc.), establishing best practices for prompt engineering, context management, and workflow integration 

• Build and maintain custom AI tooling, MCP servers, and integrations that provide teams with domain-specific context from your codebase, documentation, infrastructure, and business systems 

• Develop and socialize reusable patterns for code generation, refactoring, test automation, incident analysis, and knowledge retrieval that teams can apply across their daily work 

• Implement AI code review and validation practices to ensure AI-generated code meets security, quality, and HIPAA compliance standards 

• Champion a culture of AI-augmented development that enables engineers to tackle bigger challenges, improve code quality, and reduce toil—without sacrificing maintainability or creating technical debt 

• Create self-service documentation, learning paths, and enablement programs (workshops, office hours, communities of practice) to scale AI adoption across engineering 

• Measure and communicate impact using both quantitative metrics (velocity, quality, time-to-deployment) and qualitative measures (developer satisfaction, cognitive load reduction, friction logging) 

Cloud-Native & IaC Enablement (30%) 

• Lead application-level infrastructure-as-code initiatives, empowering product teams to own their cloud resources (containers, SQS, Lambda, DocumentDB, DynamoDB, etc.) 

• Design reference architectures and terraform/CDK patterns that balance team autonomy with consistency and security 

• Partner with the enterprise DevOps team to establish clear boundaries—they own foundational infrastructure (VPCs, security groups, IAM foundations), you enable teams to own application-layer resources 

• Build proof-of-concepts and migration playbooks as GHX transitions from lift-and-shift EC2 environments to truly cloud-native architectures 

• Manage engineers on cloud-native design patterns, observability, cost optimization, and operational excellence 

Technical Leadership & Collaboration (20%) 

• Provide direction, hands-on execution to grow an engineering team 

• Work closely with product managers, engineering leaders, and cross-functional partners to translate business needs into practical AI and infrastructure solutions 

• Establish metrics and feedback loops to continuously improve both AI adoption and cloud-native maturity 

• Balance innovation with pragmatism—championing new approaches while ensuring solutions scale sustainably 

What You Bring 

Required: