Artificial Intelligence (AI) Engineering Senior Consultant

Avanade
Sydney, Melbourne, Brisbane
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Consulting","Stakeholder engagement","Problem-solving","Growth mindset"]

Design, build, and deploy production-grade AI solutions powered by large language models, AI agents, and agentic workflows. You’ll develop applications using Azure AI Foundry and Azure OpenAI, implement RAG and vector search for enterprise knowledge, and integrate secure, scalable AI into client data and business platforms. Work across cloud and data services, applying LLMOps/MLOps, observability, and responsible AI practices while collaborating with clients and cross-functional teams.

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FursaFursa
Avanade
Avanade
1 day ago

Artificial Intelligence (AI) Engineering Senior Consultant

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design, build, and deploy production-grade AI solutions powered by large language models, AI agents, and agentic workflows. You’ll develop applications using Azure AI Foundry and Azure OpenAI, implement RAG and vector search for enterprise knowledge, and integrate secure, scalable AI into client data and business platforms. Work across cloud and data services, applying LLMOps/MLOps, observability, and responsible AI practices while collaborating with clients and cross-functional teams.
Location: Sydney, Melbourne, Brisbane
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop AI-powered applications using Azure AI Foundry, Azure OpenAI, and emerging AI technologies.
  • •Build and orchestrate AI Agents for planning, reasoning, tool usage, workflow automation, and multi-agent collaboration.
  • •Develop agentic AI solutions using frameworks such as Semantic Kernel, AutoGen, LangChain, CrewAI, and Microsoft agent frameworks.
  • •Implement RAG and enterprise knowledge patterns, including vector search, knowledge engineering, and secure retrieval architectures.
  • •Deploy, monitor, evaluate, and optimize AI systems using MLOps/LLMOps, observability, and responsible AI practices.

Key Requirements

  • •Strong software engineering skills, including Python, C#, and JavaScript/TypeScript, plus REST APIs and cloud-native architectures.
  • •Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, and Azure Machine Learning.
  • •Experience building AI agents and agentic workflows (tool calling, memory, orchestration, planning) such as Copilots.
  • •Knowledge of agentic frameworks such as Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, or equivalents.
  • •Experience implementing RAG with vector search/embeddings and evaluation frameworks, plus familiarity with modern data platforms (e.g., Microsoft Fabric, Databricks, Azure Data Services).
Experience:Cloud-nativeEnterprise AIGenerative AIAgentic AILLMOpsMLOps
Skills:ConsultingStakeholder engagementProblem-solvingGrowth mindset
Tech Stack:PythonC#JavaScriptTypeScriptREST APIsAzure AI FoundryAzure OpenAI ServiceAzure AI SearchAzure AI AgentsAzure Machine LearningSemantic KernelAutoGenLangGraphLangChainCrewAIMicrosoft Agent frameworksRetrieval-Augmented GenerationRAGVector searchVector databases

Eligibility

Nationality:Australian National

Company Brief

Avanade
Global digital innovation and IT services company delivering Microsoft-based cloud, digital and application services. Partners with enterprises to design, build and run business solutions across cloud, data, AI, modern workplace and industry-specific transformations.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Seattle, United States
Founded: 2000
Glassdoor
Glassdoor: 3.9
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