AI Engineering With Microsoft Azure

Role: AI Solution Architect.

Grade: P7/M7

Reports to Associate Vice President.

Location: Houston, Texas
.

Role Overview:

The AI Advisor Microsoft Azure is a strategic leadership role responsible for guiding enterprise customers through their AI transformation journey on the Azure platform.

You will define organizational AI strategy architect scalable agentic solutions leveraging Azure AI services and ensure successful realization of high impact AI projects that deliver measurable business value.

Responsibilities

Define Enterprise AI Strategy on Azure Collaborate with C suite and executive stakeholders to develop and refine their AI strategy and roadmap using Azure AI capabilities Orchestrate AI Strategy Conduct customer interviews capture data current landscape and understand the current state to converge on actionable solutions.

Identify High Impact Opportunities Conduct discovery and ideation workshops to identify compelling high value.

AI use cases suitable for early success and scale on Azure Architect Agentic AI Solutions on Azure Design and architect robust scalable and secure agentic AI solutions leveraging Azure OpenAI Service Azure AI Studio and Azure Machine Learning Platform Alignment Serve as the technical authority on Microsoft’s Generative AI ecosystem including Azure OpenAI Service Azure AI Studio Azure Cognitive Services and Semantic Kernel Establish Governance Advise customers on best practices for AI governance.

Responsible AI security and compliance using Microsoft’s Responsible AI framework and Azure Policy Guide Deployment.

Provide hands on guidance for largescale development deployment and rollout of Agentic AI solutions on Azure Proof of Concepts POCs Lead technical execution of initial projects using Azure AI services.

Demonstrating clear business value and establishing a foundation for enterprise-wide expansion Design change management Define OKRs KPIs to measure success criteria.

Required Qualifications:

Experience Minimum of 10 years in Enterprise Architecture with at least 3 years focused on Generative AI and or Machine Learning solutions on Azure Agentic AI Expertise.

Proven experience in architecting developing and deploying agentic AI solutions leveraging Azure OpenAI Service and Semantic Kernel Azure Platform Fluency Deep hands on experience with Azure OpenAI Service Azure AI Studio Azure Cognitive Services and Azure Machine Learning Framework Proficiency.

Expert knowledge of orchestration frameworks like Semantic Kernel Lang Chain Auto Gen and integration with Azure Functions and Logic Apps.

Large Scale Delivery Demonstrated success in leading enterprise scale deployments of Generative AI solutions on Azure Data AI Stack Strong understanding of Azure Data Lake Azure Synapse Cosmos DB with vector search and implementing RAG architectures using Azure AI Search Communication.

Excellent consulting stakeholder management and executive communication skills.

Skills

Mandatory Skills :
Machine Learning - AIOPS

Preferred Qualifications:

Certifications Microsoft Certified Azure.

Solutions Architect Expert Azure AI Engineer

Associate or equivalent Industry Experience.

Experience in the Energy Manufacturing or Insurance domain preferred.

Experience in management consulting and or early stage startups