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 will 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.

• 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 (Git Hub 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)

• Lead application‑level infrastructure‑as‑code initiatives, empowering product teams to own their cloud resources (containers, SQS, Lambda, Document
  
  DB, Dynamo
  
  DB, etc.)
• Design reference architectures and terraform/CDK patterns that balance team autonomy with consistency and security
• Partner with the enterprise Dev Ops 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

• 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

• 10+ years of software engineering experience with at least 3 years in technical leadership roles
• Deep hands‑on experience with cloud‑native architecture on AWS (containers/ECS/EKS, serverless, managed databases, event‑driven patterns)
• Strong infrastructure‑as‑code background (Terraform, Cloud Formation, or CDK) with experience enabling engineering teams to own their…