Consultant – Full Stack AI Application Developer (Azure)

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I korthet

Microsoft is seeking a Consultant – Full Stack AI Application Developer (Azure) to join their Global Center for Innovation and Delivery. This role involves designing, developing, and deploying modern cloud-native applications on Azure, with a focus on AI integration. It's an excellent opportunity for early-career engineers to build full-stack and cloud skills in a collaborative environment.

Ansvarsområden

Design and build cloud-native, full-stack applications on Microsoft Azure across UI, API, services, and data layers.
Collaborate with senior engineers and architects to translate business requirements into technical designs.
Own feature delivery end-to-end, including estimation, implementation, testing, code reviews, and CI/CD deployment.
Integrate backend services, implement RESTful APIs, and ensure performance, reliability, and observability.
Apply security, compliance, and Responsible AI principles.
Identify and mitigate technical risks and dependencies.
Reuse and contribute to shared frameworks and IP.
Collaborate cross-functionally to articulate technical value and support customer outcomes.
Continuously learn and adopt modern engineering practices like DevSecOps and automation.

Krav

4-10 years of professional software development experience.
Bachelor's degree in computer science, Engineering, or a related discipline, or equivalent practical experience.
Hands-on experience designing and building applications using .NET (C#), .NET Web APIs, Node.js with modern front-end technologies (JavaScript/TypeScript) and frameworks (Angular/React).
Strong understanding of application development across UI, API, service, integration, and data layers.
Experience building and consuming RESTful services.
Working knowledge of relational databases such as Azure SQL, Azure Cosmos DB, PostgreSQL, Azure SQL managed Instance or Azure Database for MySQL.
Solid foundation in software engineering principles, including clean code, debugging, testing, and problem-solving.
Hands-on experience integrating AI capabilities into applications.
Practical knowledge of Azure AI services, including Azure AI Foundry and Azure AI Search, and understanding of RAG 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.
Working knowledge of Python for implementing AI workflows.
Understanding and application of Responsible AI principles.
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.
Ability to work closely with senior consultants, architects, and customers.
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.
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.

Önskade kvalifikationer

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.
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.

Förmåner

Collaborative environment to work on real-world customer challenges.
Build consulting, cloud, and application development skills.
Gain exposure to AI-enabled application patterns in enterprise delivery.

Färdigheter

.NETC#.NET Web APINode.jsJavaScriptTypeScriptAngularReactRESTful servicesAzure SQLAzure Cosmos DBPostgreSQLAzure Database for MySQLPythonGitAzure FunctionsKubernetes

#Consulting Services#Technology Consulting#Full Stack#AI#Azure#Application Development#Cloud#DevOps

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