TITLE: Manager, Azure & AI Platform Engineering

LOCATION: Dallas, TX or Denver, CO

MODEL: Hybrid - 3 days onsite

COMPENSATION: Approximately 125K to 160K base plus benefits

EMPLOYEMENT TYPE: Full-time

NO C2C OR 3RD PARTY CANDIDATES AT THIS TIME

THE COMPANY

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.

THE ROLE

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.

KEY RESPONSIBILITIES

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

REQUIRED QUALIFICATIONS

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

WHY THIS ROLE

Ownership of AI and platform strategy

Direct visibility with executive leadership

Opportunity to build enterprise-scale AI capabilities from the ground up

Strong mix of strategy and hands-on architecture

High-growth environment at a key transformation stage

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.