Managing Director, Enterprise Platform Architecture & Engineering

The Managing Director, Enterprise Platform Architecture & Engineering is a senior technology executive with deep hands‑on expertise and strategic vision to define and advance enterprise platform strategy. This leader serves as a credible technical authority, actively engaging in architectural design sessions, challenging engineering tradeoffs with informed depth, and governing infrastructure and delivery patterns from a foundation of real implementation experience.

This role spans the full enterprise platform stack: cloud and on-premises infrastructure, middleware and integration technologies, developer experience tooling, and AI engineering infrastructure. The successful candidate will shape hybrid platform environments — including AI‑enabled capabilities and agentic runtimes — while championing modern engineering paradigms that enable teams to build, deploy, and scale secure, resilient, and intelligent solutions at enterprise scale.

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.

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 (Lang Graph, Auto Gen, CrewAI), tool‑calling infrastructure, memory management, multi‑agent coordination, and AI observability.

Design and evolve the Internal Developer Platform (IDP), ensuring engineering teams have self‑service, automated, and frictionless access to platform capabilities. This includes:

• 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), Git Ops workflows, and shift‑left quality and security practices

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 (Open Telemetry, distributed tracing), and policy‑as‑code enforcement — ensuring resilience and security are engineered in, not layered on.

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.

• University (Degree) Preferred

• 10+ Years Required

• Physical Requirements:
  
  Sedentary Work

11PL

• 10+ years of progressive technology leadership with sustained hands‑on technical depth and organizational scale
• Deep expertise across AWS,…