About the position
We are looking for a highly skilled and innovative Senior Azure AI Developer to join our growing Data & AI team. This is an exciting opportunity for an experienced AI professional who is passionate about designing, building, and scaling enterprise-grade AI solutions using the latest Microsoft Azure AI technologies.
As a Senior Azure AI Developer, you will work directly with clients and internal stakeholders to transform business challenges into intelligent, production-ready solutions. You will leverage Azure AI Foundry, Azure OpenAI, Foundry Agent Service, and the broader Azure ecosystem to deliver modern AI applications, intelligent agents, multi-agent systems, and automation solutions that drive measurable business value.
In addition to hands-on development, you'll provide technical leadership, mentor team members, establish delivery standards, and contribute to the ongoing evolution of our AI capabilities.
Key Responsibilities
AI Solution Design & Development
- Design, develop, and deploy enterprise-grade AI applications using Microsoft Azure AI services.
- Build scalable Generative AI, Machine Learning, and Intelligent Automation solutions.
- Lead the end-to-end development lifecycle from solution design through deployment and operational support.
- Translate business requirements into robust AI architectures and technical solutions.
Azure AI Foundry & Generative AI
- Develop and operationalize AI solutions using Azure AI Foundry.
- Build and optimize Retrieval-Augmented Generation (RAG) solutions.
- Create intelligent copilots, assistants, and conversational AI applications.
- Integrate Azure OpenAI models into enterprise applications.
- Design prompt engineering frameworks and AI orchestration workflows.
AI Agent & Multi-Agent Systems
- Design, deploy, and manage enterprise AI agents using Azure AI Foundry Agent Service.
- Build and orchestrate multi-agent ecosystems capable of solving complex business workflows.
- Implement MCP-compatible agent architectures and interaction patterns.
- Define communication, governance, and monitoring standards for AI agents.
- Develop autonomous and semi-autonomous AI workflows.
Platform Engineering & Deployment
- Deploy AI services using Azure App Service, AKS, and containerized environments.
- Design cloud-native architectures optimized for security, performance, and scalability.
- Build CI/CD pipelines supporting AI application delivery.
- Implement Infrastructure as Code (IaC) and automated deployment frameworks.
AI Governance, Security & Compliance
- Ensure AI solutions are secure, responsible, explainable, and compliant.
- Implement governance controls for enterprise AI deployments.
- Design monitoring, logging, and observability frameworks for AI applications.
- Establish best practices for model management and operational support.
Client Engagement & Leadership
- Work directly with clients to understand business challenges and define AI strategies.
- Lead technical workshops, architecture sessions, and solution discovery engagements.
- Provide mentorship and technical guidance to developers and junior AI engineers.
- Contribute to AI capability development and delivery excellence within the practicel
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related discipline.
- 5+ years of software development experience.
- 3+ years of hands-on experience developing AI and cloud-native solutions on Microsoft Azure.
Strong expertise in:
- Azure AI Foundry
- Azure OpenAI Service
- Azure Machine Learning
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Generative AI Solution Development
Proficiency in:
- Python
- C#
- REST APIs
- Git
- Software Engineering Best Practices
Experience with:
- Azure App Services
- Azure Functions
- Azure Storage Services
- Azure Key Vault
- Microsoft Entra ID
- Azure Monitor
- Application Insights
Strong understanding of:
- Cloud Architecture
- Enterprise Integration Patterns
- Security and Identity Management
- CI/CD Pipelines
- Containerization and Microservices
Experience designing and implementing:
- AI Agents
- Multi-Agent Systems
- Agent Orchestration Frameworks
- Enterprise AI Workflows
Desired Skills:
- CI/CD Pipelines
- AI
- Machine Learning
- Intelligent Automation
- C#
- REST APIs
