Overview

Microsoft Industry Solutions – Global Center for Innovation and Delivery (GCID) aims to accelerate customer adoption of Microsoft technologies by delivering end-to-end, industry-aligned solutions. Our global team of over 1,000 professionals offers a collaborative environment for early-career engineers to engage with real-world customer challenges and build consulting, cloud, and application development skills.

As a Consultant – Full Stack AI Application Developer (Azure), you will be instrumental in designing, developing, and deploying modern cloud-based applications, working alongside senior engineers and architects. This role is perfect for developers seeking to enhance their full-stack capabilities, deepen their Azure expertise, and gain exposure to AI-enabled application patterns within enterprise delivery contexts.

Responsibilities

• Design and build cloud-native, full-stack applications on Microsoft Azure, contributing to UI, API, services, and data layers with a focus on high-quality, secure, and scalable code.
• Collaborate with architects and senior consultants to translate business requirements into technical designs and implementation plans, actively participating in design reviews and solution walkthroughs.
• Take ownership of feature delivery from end-to-end: estimate effort, implement features, write unit/integration tests, conduct code reviews, and support deployment via CI/CD pipelines.
• Integrate backend services and data platforms, implement RESTful APIs, and ensure performance, reliability, and observability (logging, metrics, traces) for production readiness.
• Apply security, compliance, and Responsible AI principles throughout application development and operations, adhering to Microsoft and customer governance standards.
• Proactively identify technical risks and dependencies, raise and help mitigate issues, support technical escalations, and contribute to contingency plans for seamless project delivery.
• Leverage and contribute to shared frameworks and intellectual property, utilizing best practices, accelerators, and patterns to enhance delivery speed and predictability.
• Engage cross-functionally with project leads, delivery managers, and account teams to articulate technical value, support adoption, and ensure successful customer outcomes.
• Embrace continuous learning and improvement by adopting modern engineering practices (DevSecOps, automation, testing, cloud monitoring) and sharing knowledge with the team.

Qualifications

• 4-10 years of professional software development experience.
• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Microsoft or cloud certifications are preferred, including but not limited to: MCSD/MCAD/MCSE, AZ-204, AI-900, AI-102, or equivalent entry- to mid-level cloud and AI certifications.

Full-Stack Application Development

• Hands-on experience designing and building applications using .NET (C#), .NET Web APIs, Node.js with modern front-end technologies such as JavaScript or TypeScript, and frameworks like Angular or React.
• Strong understanding of application development across UI, API, service, integration, and data layers.
• Experience building and consuming RESTful services and integrating backend systems.
• Working knowledge of relational databases such as Azure SQL, Azure Cosmos DB, PostgreSQL, Azure SQL Managed Instance, or Azure Database for MySQL, including data access and performance considerations.
• Solid foundation in software engineering principles, including clean code, debugging, testing, and problem-solving.

AI-Enabled Application Development

• Hands-on experience integrating AI capabilities into applications, such as search, chat, recommendations, or content generation using AI services or APIs.
• Practical knowledge of Azure AI services, including Azure AI Foundry and Azure AI Search, and understanding of RAG (Retrieval-Augmented Generation) patterns.
• Experience with RAG pipelines, vector search workflows, or agent-based patterns using tools such as Semantic Kernel, LangChain, or similar frameworks.
• Experience with prompt engineering and optimization to build reliable, high-quality AI-driven application workflows.
• Working knowledge of Python for implementing AI workflows, automation, or AI-assisted application components.
• Understanding and application of Responsible AI principles in designing and delivering AI-enabled solutions.

Cloud & DevOps

• Experience working with Microsoft Azure for application hosting, configuration, and deployment.
• Familiarity with CI/CD pipelines, source control (Git), and automated build and release processes.
• Basic experience with application monitoring, logging, and troubleshooting in cloud environments.
• Understanding secure application development practices, including authentication and authorization.

Good-to-Have / Preferred Skills

• Exposure to evaluation and tuning techniques for improving AI response quality and reliability.
• Familiarity with microservices and serverless architectures, including Azure Functions, containers, or Kubernetes.
• Awareness of deployment strategies such as blue/green or canary releases.
• Exposure to end-to-end observability concepts (metrics, traces).
• Experience with open-source technologies or familiarity with platforms beyond Azure (e.g., Java, AWS, or Google Cloud Platform).
• Domain exposure to industries such as financial services, healthcare, manufacturing, or retail.

Consulting Mindset & Collaboration

• Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions that help solve their business challenges.
• Strong communication skills to explain technical concepts to business stakeholders.
• Comfortable working in ambiguous environments, learning quickly, and adapting to change.
• Eagerness to build engineering excellence, reusable components, and best practices.

Growth & Learning Orientation

• Strong interest in continuous learning and technical certifications.
• Curiosity to explore emerging data and AI technologies.
• Willingness to receive feedback, grow technical depth, and expand ownership over time.

Other

• Embody our culture and values.