AI Engineer - Copilot & Foundry

Posted 18d ago

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Design, build, test, deploy, and operate enterprise AI solutions using Microsoft Copilot Studio and Microsoft Foundry
Develop customer-facing copilots, agents, and generative AI applications using low-code and pro-code approaches
Design agent architectures that combine Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Azure AI services, and enterprise data sources
Build and implement agentic solutions using RAG, MCP, Agent orchestration, and tool calling / function calling frameworks
Develop custom connectors, plugins, tools, APIs, and integrations that enable agents to securely interact with business systems and data
Select, evaluate, and orchestrate models based on use case, quality, performance, security, and cost considerations
Implement secure authentication, authorization, identity, data access, and service-to-service integration patterns for AI solutions
Apply Application Lifecycle Management (ALM) practices, including source control, environment strategy, automated testing, CI/CD, deployment, monitoring, and ongoing iteration
Collaborate directly with customers to discover requirements, translate business needs into technical designs, and deliver production-ready solutions
Troubleshoot and optimize copilots, agents, prompts, models, and retrieval pipelines for accuracy, reliability, latency, and maintainability
Document solution architectures, technical designs, deployment procedures, security considerations, and operational guidance as part of customer deliverables

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field
3+ years of experience in software engineering, application development, cloud engineering, AI engineering, or automation-focused roles
Hands-on experience building AI-powered applications, copilots, or agents using Microsoft Copilot Studio, Microsoft Foundry, Azure AI services, or comparable platforms
Proficiency with at least one modern programming language, such as Python, C#, TypeScript, or JavaScript
Experience designing and consuming REST APIs, custom connectors, plugins, tools, or event-driven integrations
Working knowledge of generative AI concepts and architectures, including prompt engineering, model inference, orchestration, agent design patterns, and grounding
Experience designing or implementing RAG solutions using enterprise content, search, vector databases, or retrieval pipelines
Solid understanding of Microsoft Entra ID, authentication, authorization, application permissions, managed identities, and secure API design
Experience applying engineering and ALM practices including Git, testing, CI/CD, environment promotion, monitoring, and technical documentation

Relevant Microsoft certifications in Azure AI, Azure development, Power Platform, Copilot Studio, or related Microsoft technologies
Experience implementing solutions with Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Azure AI Search, Azure OpenAI, or Microsoft Graph
Experience building multi-agent or multi-model solutions and evaluating model quality, latency, and cost
Familiarity with Model Context Protocol (MCP), agent runtimes, tool calling, or equivalent agent integration patterns
Experience integrating AI solutions with Microsoft 365, Dataverse, SharePoint, Dynamics 365, or other enterprise applications and data sources
Familiarity with AI governance, responsible AI, data security, content safety, observability, and evaluation practices
Experience with cloud infrastructure, containers, serverless services, infrastructure as code, or distributed systems
Consulting or professional services experience delivering customer-specific solutions in enterprise or regulated environments
Experience collaborating with security, data, compliance, adoption, and change management teams during solution delivery
Demonstrated commitment to staying current with rapidly evolving Microsoft AI platforms, development practices, and responsible AI guidance

Skills