Managing Director, Enterprise Platform Architecture & Engineering

Key Responsibilities And Duties

• Cloud Platform Engineering & Strategy:
  • Define and execute enterprise cloud platform strategy with direct involvement in foundational technical decisions, including cloud-native design, multi-cloud and hybrid networking, Kubernetes orchestration, infrastructure-as-code, and platform observability.
  • Integrate AI workload requirements — GPU compute, high-throughput networking, and LLM inference optimization — into cloud architecture and capacity planning.
• AI Engineering Infrastructure & Agentic Platforms:
  • Architect and evolve infrastructure supporting enterprise AI workloads, including LLM inference and model serving, GPU compute management, vector databases, embedding pipelines, and RAG architectures.
  • Define standards for agentic workflow environments covering agent orchestration frameworks (LangGraph, AutoGen, CrewAI), tool-calling infrastructure, memory management, multi-agent coordination, and AI observability.
• Developer Experience & Internal Developer Platform (IDP):
  • Design and evolve the Internal Developer Platform (IDP), ensuring engineering teams have self-service, automated, and frictionless access to platform capabilities.
    • Environment-as-a-service, sandbox orchestration enabling on-demand, production-like environments for development and testing, including AI model integration environments and LLM-connected sandbox configurations.
    • CI/CD pipeline engineering, designing, scaling, and governing CI/CD pipelines across the engineering organization, with a focus on pipeline standardization, security scanning integration, delivery velocity, and AI-assisted pipeline automation.
    • AI-Assisted development tooling driving the strategy for AI-powered coding assistants, automated code review, AI-powered observability, and intelligent testing tooling integrated into the developer workflow.
    • Developer portal and toolchain integration (e.g., Backstage), GitOps workflows, and shift-left quality and security practices.
• Governance, Standards & Modernization:
  • Develop and govern enterprise technology standards, architectural patterns, and engineering frameworks, including AI platform architecture standards and responsible AI infrastructure patterns.
  • Lead architecture review boards with active technical participation.
  • Drive modernization through infrastructure-as-code, SRE principles, platform observability (OpenTelemetry, distributed tracing), and policy-as-code enforcement — ensuring resilience and security are engineered in, not layered on.
• Technology Strategy & Executive Leadership:
  • Influence technology strategy and investment decisions across Lines of Business.
  • Lead vendor evaluations — including AI platform, model provider, and agentic toolchain assessments — with deep technical credibility.
  • Build and develop high-performing engineering teams, mentor senior engineers and architects, and foster a culture of technical excellence and continuous learning.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 10+ Years Required

Physical Requirements

• Sedentary Work

Career Level

• 11PL

Base Pay Range

• $179,000/yr - $295,000/yr

Related Skills

• Application Programming Interface (API) Development/Integration
• Automation
• Communication
• Consultative Communication
• Containerization
• DevOps
• Enterprise Application Integration
• Influence
• Organizational Savviness
• Problem Solving
• Prototyping
• Relationship Management
• Scalability/Reliability
• Software Development Life Cycle
• Systems Design/Analysis

Leadership Competencies

• Strategic Technical Leadership
• Enterprise Systems Thinking
• Executive Presence with Engineering Credibility
• Organizational Influence
• Stakeholder Management
• Technology Transformation Leadership
• Talent Development and Engineering Culture
• Innovation Leadership
• Negotiation and Consensus Building