Identify, evaluate, and prioritize high-impact AI use cases aligned to strategic objectives
Partner with product and business stakeholders to prioritize and execute the AI roadmap
Lead and develop a cross-functional AI team
Hold teams accountable for execution, quality, and delivery outcomes
Drive consistent delivery of production-ready AI solutions on defined timelines
Act as the primary point of accountability for AI delivery to business stakeholders
Ensure alignment with governance, security, and compliance standards
Establish repeatable delivery frameworks, standards, and best practices for AI solution development and deployment
Drive adoption and standardization of Microsoft AI Foundry (Azure AI Studio) as the core platform for AI solution development and deployment
Ensure AI solutions are built using consistent patterns across LLM workflows, data integration, and deployment within the Azure ecosystem

Requirements

Required Experience delivering AI/ML or data products into production environments
Strong understanding of system architecture (APIs, data pipelines, cloud platforms)
Proven track record of managing cross-functional technical teams
Experience defining and tracking business KPIs tied to technology delivery
Preferred Experience with Azure AI services, Microsoft AI Foundry (Azure AI Studio), or similar enterprise AI platforms
Familiarity with MLOps practices
Experience in consulting or enterprise environments

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIMLdata productssystem architectureAPIsdata pipelinescloud platformsMLOpsAI solution developmentdeployment

Soft Skills

leadershipaccountabilitycollaborationcommunicationstrategic thinkingprioritizationexecutionquality assurancedelivery managementstakeholder engagement