Avanade
Avanade
Avanade nodrošina uzņēmumiem mākoņpakalpojumu tehnoloģijās balstītus saišu pārvaldības un digitālās saziņas rīkus. Tās platforma atbalsta URL saīsināšanu, zīmola saites, QR kodus, tostarp dinamiskos un GS1 Digital Link formātus, mobilās galvenās lapas, digitālās vizītkartes, UTM kampaņu izsekošanu, saišu analītiku, API un integrācijas. Šīs iespējas palīdz mārketinga, izstrādes un klientu apkalpošanas komandām veidot, pārvaldīt un novērtēt mijiedarbību ar klientiem digitālajos kanālos, kā arī izmantot uzņēmumiem paredzētas drošības un atbilstības funkcijas.

Senior AI Engineering Consultant at Avanade — Melbourne (Hybrid)

Avanade is seeking a senior AI engineering consultant to design Azure-based LLM, agentic AI, and RAG solutions. The role partners with clients to deliver secure, scalable AI-driven business transformation.

Apraksts

  • Design and build AI applications with Azure AI Foundry, Azure OpenAI, and emerging artificial intelligence technologies
  • Develop and coordinate AI agents for planning, reasoning, tool use, workflow automation, and multi-agent collaboration
  • Create agentic AI solutions with Semantic Kernel, AutoGen, LangChain, CrewAI, and Microsoft agent frameworks
  • Apply retrieval-augmented generation, vector search, knowledge engineering, and enterprise AI architecture patterns
  • Build secure, scalable AI solutions that connect enterprise data, business applications, and digital platforms
  • Deploy, monitor, assess, and improve AI systems through MLOps, LLMOps, observability, and responsible AI practices
  • Work with clients, architects, and cross-functional teams to turn business challenges into practical AI outcomes
  • Advance generative and agentic AI through innovation initiatives, reusable accelerators, and thought leadership

Prasības

  • Proven software engineering ability with Python, C#, JavaScript or TypeScript, REST APIs, and cloud-native architecture
  • Practical experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, and Azure Machine Learning
  • Experience developing AI agents, copilots, and agentic workflows using tool calling, memory, orchestration, and planning
  • Working knowledge of agentic frameworks such as Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, or comparable platforms
  • Experience with RAG, vector databases, embeddings, prompt engineering, evaluation frameworks, and knowledge retrieval architecture
  • Understanding of modern data platforms, including Microsoft Fabric, Databricks, Azure Data Services, and enterprise knowledge foundations
  • Familiarity with MLOps, LLMOps, responsible AI, security, governance, and compliance practices
  • Strong consulting, stakeholder management, and analytical problem-solving skills
  • Australian citizens are preferred, and permanent residents are also welcome to apply

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