Senior AI Developer

Overview

Design, develop, and support enterprise-grade AI solutions across Premier's technology ecosystem, partnering with business stakeholders, end users, and global IT teams.

What you'll do

• Lead AI solution design and orchestration using Microsoft Copilot Studio, Claude Workflows, and Azure AI Foundry, Claude on Foundry / Claude Skills.
• Develop, test, and optimize AI prompts, workflows, and pipelines for enterprise use cases.
• Build and maintain integrations between AI platforms and corporate applications using REST APIs, webhooks, event-driven architectures, and secure connectors.
• Implement RAG (Retrieval-Augmented Generation) using Azure AI Search, vector databases, and embedding pipelines.
• Deploy and manage custom MCP servers and agent UIs via Azure Container Apps.
• Develop and maintain automation scripts using Python, TypeScript, PowerShell, and other languages.
• Administer and configure Azure AI Foundry, including Prompt Flow, model catalog (Azure OpenAI, Claude, Phi), safety evaluations, deployment endpoints, monitoring and observability, and Agent Service configuration.
• Resolve AI-related issues through Premier's ticketing system while meeting SLAs.
• Lead AI platform upgrades, patches, and new feature rollouts with documented test cases and validation controls.
• Develop and maintain documentation for AI workflows, integrations, and business processes, and create knowledge base articles for Premier's IT Service Management platform.
• Configure security models for AI applications, ensuring least-privilege access and compliance with Responsible AI standards.
• Lead AI projects, keeping project team members, stakeholders, vendors, and IT leadership informed of issues and overall status.

What you'll need

• Bachelor's degree and 4-6 years of IT experience, or 6-8 years equivalent experience, supporting enterprise applications/AI systems.
• Hands-on experience with Microsoft Copilot, Copilot Studio, Claude Workflows, and Azure AI Foundry, Claude on Foundry / Claude Skills, Microsoft Copilot Studio.
• Strong understanding of LLM architecture, prompt engineering, AI safety, and model evaluation.
• Experience with Azure Container Apps for deploying custom MCP servers and agent front-ends.
• Experience with AI and integrating enterprise applications such as Workday, Salesforce, Cornerstone, or similar systems.
• Strong understanding of web services, APIs, XML, JSON, and XSLT.
• Fluent verbal and written English.
• Excellent team player; collaborative and consensus-driven.
• Ability to multitask and work effectively in a fast-paced environment with changing priorities.
• Strong communication, negotiation, organizational, and time-management skills.
• Strong desire to learn new skills and expand technical experience.
• Accountable, dependable, and committed to delivering high-quality results.
• Customer-service-focused approach to internal and external stakeholders.
• Ability to work both independently and within a team environment.

Nice to have

• Experience with Workday integrations (EIB, Core Connector, RaaS, Studio).
• Proficiency in Python, TypeScript, SQL, .NET, JavaScript, and automation scripting.
• Experience with integration platforms such as Azure Integration Services, WSO2, or similar.