20 days ago
Melbourne, AustraliaSenior
Responsibilities
- Lead AI discovery workshops and identify high-value AI and Agentic AI opportunities for clients.
- Define AI transformation roadmaps aligned with business goals, operating models, and technology strategy.
- Architect enterprise AI platforms using Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Databricks, and Azure services.
- Design multi-agent systems, enterprise copilots, digital assistants, intelligent automation, RAG, semantic search, memory, and contextual grounding solutions.
- Lead solution design across AI Engineers, Data Engineers, Software Engineers, and Architects.
- Define reference architectures, reusable accelerators, development standards, governance controls, and operational readiness practices.
- Advise clients on AI adoption, governance, security, privacy, risk, evaluation, monitoring, and business value realization.
- Support pursuits, proposals, solution estimates, architecture reviews, executive presentations, and steering committee engagements.
- Mentor architects and engineers and contribute to AI thought leadership.
Requirements
- Extensive experience designing and delivering enterprise AI and Generative AI solutions.
- Deep understanding of LLMs, prompt engineering, AI evaluation, agent architectures, reasoning frameworks, and autonomous systems.
- Experience with AI Agents, Agentic workflows, RAG architectures, embeddings, vector databases, semantic search, and enterprise knowledge platforms.
- Strong experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure Data Services, Microsoft Fabric, and Copilot technologies.
- Experience architecting cloud-native solutions on Microsoft Azure.
- Experience with one or more of Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, or Microsoft Agent frameworks.
- Understanding of orchestration, memory management, tool integration, and multi-agent collaboration patterns.
- Strong understanding of modern data architectures, data engineering, data governance, metadata, knowledge management, and enterprise data platforms.
- Knowledge of Databricks, Fabric Lakehouse, Azure Data Platform, and enterprise information management patterns.
- Proven experience leading architecture and solution design engagements with senior business and technology stakeholders.
- Strong commercial awareness, estimation, proposal development, and distributed multidisciplinary team leadership capabilities.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline.
- Microsoft AI and Azure certifications are preferred.
- Experience in regulated industries and enterprise transformation or operating model change initiatives is preferred.
- Australian Citizenship is required.
Tech Stack
AzureDatabricks
Categories
Solutions Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.