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Brisbane, Queensland, Australia
Hybrid
AI Solutions Architect
Summary
Our talented Data & AI Practice is made up of globally recognized experts—and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.
As an AI Solutions Architect within our Data & AI Practice, you’ll leverage a client-centric approach to translate our clients’ business strategy into solutions and services that lead to successful, impactful outcomes. You’ll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shaping the strategic direction around Data and AI architecture. Together we do what matters.
Key Responsibilities
As an AI Solutions Architect assigned to a client project, you will work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts.
Assist clients in their journey to Microsoft Azure or leverage their existing investment in it. You can expect a significant focus on applying cloud architectural patterns and migration strategies.
Play a key role in Avanade's sales process with responsibility for shaping high-level solution designs, estimates, and contractual details for client proposals in collaboration with other subject matter experts.
Engage in early conversations with clients and sales teams, support origination and deal qualification activities, and become a trusted advisor.
Prepare and represent solutions in Deal Reviews and play an active role in Orals, Client Presentations, and negotiation discussions with key client stakeholders.
Complete pricing activities using standard solution architecture processes, estimating methods, and modelling tools to drive quality and consistency.
Ensure solutions are both deliverable and commercially viable while identifying and mitigating technical and delivery risks.
Translate complex technical solutions into business outcomes for executives, customers, sales teams, and wider technical audiences.
Provide coaching and mentoring to technical teams and support the growth of Avanade's AI and Data community.
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Skills and Experiences
Excellent working knowledge of Microsoft technologies.
Proficiency in Azure AI Services including Azure Machine Learning, Azure Cognitive Services, Azure OpenAI, Azure AI Search, and Azure Bot Services. Knowledge of equivalent capabilities within AWS and GCP is highly regarded.
Strong understanding of Machine Learning concepts, including Large Language Models (LLMs), Generative AI, foundation models, prompt engineering techniques, and model fine-tuning approaches.
Hands-on experience with Azure AI Foundry, including AI application development, model evaluation, prompt orchestration, AI governance, and deployment of enterprise AI solutions.
Strong experience designing and implementing Generative AI and Agentic AI solutions, including AI Agents, multi-agent systems, autonomous workflows, and intelligent copilots.
Experience with Retrieval-Augmented Generation (RAG) architectures, vector databases, semantic search, knowledge grounding, and enterprise AI solution patterns.
Experience with AI orchestration frameworks and technologies such as Semantic Kernel, LangChain, LangGraph, AutoGen, Copilot Studio, or similar frameworks.
High energy and passion for helping clients understand emerging technologies including Azure OpenAI, Azure AI Foundry, Microsoft Fabric, Copilot, and Agentic AI capabilities.
Strong working knowledge of Python (required). Experience with .NET, C#, R, or other modern development frameworks is beneficial.
Experience integrating AI solutions with enterprise applications, APIs, business processes, Microsoft Fabric, Databricks, and Azure data platforms.
Experience working with stakeholders to create technical visions, high-level architectures, AI roadmaps, and transformation strategies.
Capability to create architecture and design artefacts and present them effectively to technical, business, and executive stakeholders, including C-level audiences.
Experience designing and delivering large-scale enterprise-grade AI, Generative AI, Agentic AI, and Azure AI Foundry solutions.
Strong understanding of architecture principles including security, scalability, reliability, performance, and maintainability.
Understanding of Responsible AI, AI governance, compliance, security, model monitoring, and enterprise AI risk management.
Awareness of Microsoft partner ecosystems and go-to-market motions that support customer success.
Working knowledge of Microsoft funding programs such as ECIF, GTM Solution Plays, Marketplace and GTM Workshop Offers is highly desirable.
Preferred Experience
Proven success in consultative and complex technical sales engagements, architecture, design, implementation, and support of highly distributed enterprise applications.
Extensive experience working with large and complex enterprise customers, architecting and delivering cloud-based Data and AI solutions.
Experience leading enterprise-scale cloud transformation programs involving Azure, Data Platforms, AI Platforms, Databricks, and Microsoft Fabric.
Strong communication, stakeholder management, and executive engagement skills.
Ability to orchestrate, lead, and influence distributed and global teams to deliver successful customer outcomes.
Enterprise-scale technical experience across cloud and hybrid infrastructures, architecture design, database modernization, AI transformation, and technology strategy.
Australian Citizenship is preferred; however, Australian Permanent Residents are also encouraged to apply.
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