Description

Define enterprise AI strategy and architect scalable generative AI solutions across cloud, on-prem, and hybrid environments.

This role is remote.

Responsibilities

• Define enterprise AI vision, roadmap, and architecture strategy while engaging CXO stakeholders.
• Architect and govern Copilot Studio agents, multi-agent orchestration patterns, and RAG implementations.
• Deploy and fine-tune generative AI models using PySpark, Azure AI Services, and OpenAI.
• Implement CI/CD pipelines via GitHub and Azure DevOps for ALM and environment governance.
• Integrate AI solutions with enterprise systems like SAP, Dynamics, and ServiceNow using APIs and Power Automate.

Required Skills

• 20+ years IT experience with 5+ years in Azure architecture.
• Deep expertise in AI Copilot, Copilot Studio, topics, tools, and orchestration.
• Proficiency in Python and PySpark for large-scale data processing and ML engineering.
• Experience with Azure DevOps, GitHub Actions, and CI/CD pipeline implementation.
• Knowledge of Azure AI Search, vector databases, and RAG patterns.
• Familiarity with Docker and Kubernetes for containerization.
• Understanding of Entra ID (AAD), DLP policies, and Responsible AI principles.
• Experience integrating with ServiceNow, Power Automate, and Logic Apps.

Preferred Skills

• Hands-on experience with multi-agent ecosystems and cross-cloud platforms (AWS, GCP).
• Exposure to Dataverse and Power Platform architecture.

Key Skills

Education

Bachelor's degree