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.
Key Responsibilities and DutiesCloud 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. 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), 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 ExperiencePhysical Requirements- Physical Requirements: Sedentary Work
Career Level11PL
- 10+ years of progressive technology leadership with sustained hands-on technical depth and organizational scale
- Deep expertise across AWS, Azure, or GCP; multi-cloud and hybrid architecture; Kubernetes; and IaC frameworks (Terraform, Pulumi, Crossplane)
- Proven experience managing and modernizing Linux-based on-premises infrastructure and hybrid cloud integration
- Hands-on experience with API Gateway and IAM platforms, including architecture, configuration, and operational governance
- Working knowledge of IDP design, CI/CD pipeline engineering, environment-as-a-service orchestration, and GitOps workflows
- Working knowledge of AI platform infrastructure, including LLM deployment, vector search, RAG architectures, and agent orchestration frameworks
- Strong command of distributed systems, microservices, event-driven architecture, API design (REST, GraphQL, gRPC), and service mesh technologies
- Proven ability to manage large technology portfolios, budgets, and multi-year engineering programs at the executive level
Preferred Qualifications:
- Advanced degree in Computer Science, Software Engineering, or a related technical discipline
- Experience in financial services, fintech, or highly regulated technology environments
- Background in enterprise IAM modernization and OAuth/OIDC migration
- Experience implementing AI-assisted development workflows at enterprise scale
- Familiarity with context engineering, model orchestration platforms, and multi-agent system design
- Experience with platform consolidation and middleware rationalization across complex, multi-LOB enterprise environments
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.
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
Anticipated Posting End Date:2026-08-11
Base Pay Range: $179,000/yr - $295,000/yr
Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).
