Manager, Azure Infrastructure and AI Platform Engineering

Manager, Azure Infrastructure and AI Platform Engineering

This is a high-impact leadership role responsible for defining and executing the organization’s AI platform strategy and cloud architecture roadmap.

You will own the direction for how AI, data, and enterprise systems integrate and scale, working directly with executive leadership while remaining hands-on with architecture and engineering decisions.

This role blends strategy, architecture, and execution, requiring the ability to operate at both executive and technical levels., Technology Strategy and AI Direction

Define and lead enterprise AI strategy including platform architecture, model selection, and automation priorities

Evaluate AI models and frameworks based on performance, cost, and scalability

Build and maintain a multi-year technology roadmap aligned to business objectives

Act as a strategic advisor to leadership on AI-related investments and decisions

Lead build versus buy and vendor evaluation decisions

Enterprise Architecture and Platform Design

Architect an end-to-end Azure-based AI platform including data, AI, and integration layers

Design systems supporting RAG architectures, multi-model orchestration, and semantic search

Own data platform strategy including lakehouse architecture and governance

Define integration approaches across enterprise systems (ERP, HRIS, operational platforms, collaboration tools)

Establish architecture standards, governance, and design patterns

Delivery Leadership and Execution

Lead and mentor engineering and platform resources across cloud, data, and automation

Drive initiatives such as intelligent automation, document processing, and workflow optimization

Partner with cross-functional stakeholders across finance, operations, and IT

Deliver measurable outcomes tied to efficiency, cost savings, and scalability

Align AI initiatives with broader cloud and productivity platform strategies

10+ years of experience in technology with leadership across architecture or strategy

Deep expertise in Azure including AI, data, and infrastructure services

Experience designing AI platforms such as RAG systems, orchestration layers, and LLM ecosystems

Strong background in enterprise data platforms and architecture

Experience integrating enterprise business systems

Strong understanding of APIs, identity, and secure architecture patterns

Proven ability to influence executive stakeholders and present technical strategy

Track record of leading complex, cross-functional programs

PREFERRED

Experience with Microsoft ecosystem tools (M365, collaboration platforms, automation tools)

Experience in infrastructure-heavy or operations-focused environments

Azure certifications (architecture, AI, or data)

Experience with MLOps, governance, and AI lifecycle management

Exposure to integration platforms or automation tooling

Our client is a rapidly growing provider of large-scale digital and mission-critical infrastructure supporting enterprise and data-driven organizations globally. They design, build, and operate highly resilient environments that enable organizations to scale applications, platforms, and data-intensive workloads. As part of their continued growth, they are investing heavily in AI, automation, and enterprise data platforms.