Microsoft Azure GenAI – Presales Solution Architect (City …, City of Sydney
Microsoft Azure GenAI – Presales Solution Architect (City …, City of Sydney
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City of Sydney, Australia
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Posted: yesterday
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Description
Are you passionate about designing and evaluating chunking strategies and embedding models to ensure accurate, secure, and high-quality GenAI outputs for enterprise data? Do you excel at managing customer expectations while effectively bridging the gap between pre-sales and delivery in complex technical engagements? Are you excited about building and optimizing Microsoft Fabric-based data pipelines to ingest and process high-frequency streaming data for real‑time Azure OpenAI applications? Join SoftwareOne's Data & AI Centre of Excellence (ANZ) as a Microsoft Azure GenAI Strategist, where you will play a pivotal role in leading technical pre‑sales and delivery by designing, prototyping, and delivering GenAI‑enabled solutions on Microsoft Azure. You will collaborate with customers, sales teams, and our Data & AI Delivery Centre to shape technical strategies and ensure successful project delivery across Australia and New Zealand. Your role will require a blend of technical expertise, customer engagement, business development, and project management skills. Key Responsibilities
- Lead the technical pre‑sales motion for Azure GenAI opportunities across ANZ, partnering closely with specialist & field sales, to shape and qualify strategic opportunities.
- Act as a trusted advisor to our customers, understanding their business challenges and proposing tailored GenAI solutions leveraging Microsoft Azure, Azure AI Foundry, or SoftwareOne’s GenAI offerings.
- Design and develop proof‑of‑concepts (POCs) and proof‑of‑values (POVs), demos, and prototypes to showcase GenAI capabilities and validate customer needs.
- Architect scalable, secure, and high‑performance GenAI solutions leveraging Microsoft Azure technologies (Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, Azure AI Search, Azure Functions, Container Apps, Cosmos DB, etc.), ensuring alignment with Azure Well‑Architected Framework principles and industry best practices.
- Provide guidance on data pipelines (Microsoft Fabric, Synapse, Databricks), model deployment, RAG architectures, API integrations, identity & security (Entra ID), and governance best practices for GenAI solutions.
- Work closely with our Data & AI Delivery Centre to ensure architectural alignment, accurate effort estimation, and seamless transition from pre‑sales into delivery, while overseeing successful end‑to‑end solution implementation and handover.
- Contribute to business development efforts by supporting RFQs, RFPs, and Statements of Work (SOWs), including defining technical approaches, resourcing, pricing models, and delivery timelines in collaboration with sales and leadership teams. What We Need to See from You
- Experience as a Solution Architect, Technical Lead, or Technical Pre‑Sales Lead, preferably in AI, ML, Data & Analytics, or cloud‑native solutions.
- Strong expertise in Microsoft Azure services, including Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, Azure AI Search, and core cloud services (compute, storage, networking, identity, and security).
- Proven experience in designing, building, and deploying AI/ML and GenAI solutions in production environments, including POCs, MVPs, and enterprise‑scale implementations.
- Strong understanding of LLM concepts including prompt engineering, fine‑tuning, evaluation frameworks, guardrails, RAG architectures, and multi‑agent systems.
- Experience with MLOps and modern DevOps practices, including CI/CD and Infrastructure as Code (Bicep, Terraform) for Azure environments.
- Strong problem‑solving, communication, and stakeholder management skills, with the ability to work effectively across technical and non‑technical teams in a consulting or fast‑paced workplace.
- Microsoft certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate) and familiarity with Microsoft Copilot ecosystem (Copilot Studio, M365 Copilot, GitHub Copilot) are highly desirable. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rt1k4
- Lead the technical pre‑sales motion for Azure GenAI opportunities across ANZ, partnering closely with specialist & field sales, to shape and qualify strategic opportunities.
- Act as a trusted advisor to our customers, understanding their business challenges and proposing tailored GenAI solutions leveraging Microsoft Azure, Azure AI Foundry, or SoftwareOne’s GenAI offerings.
- Design and develop proof‑of‑concepts (POCs) and proof‑of‑values (POVs), demos, and prototypes to showcase GenAI capabilities and validate customer needs.
- Architect scalable, secure, and high‑performance GenAI solutions leveraging Microsoft Azure technologies (Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, Azure AI Search, Azure Functions, Container Apps, Cosmos DB, etc.), ensuring alignment with Azure Well‑Architected Framework principles and industry best practices.
- Provide guidance on data pipelines (Microsoft Fabric, Synapse, Databricks), model deployment, RAG architectures, API integrations, identity & security (Entra ID), and governance best practices for GenAI solutions.
- Work closely with our Data & AI Delivery Centre to ensure architectural alignment, accurate effort estimation, and seamless transition from pre‑sales into delivery, while overseeing successful end‑to‑end solution implementation and handover.
- Contribute to business development efforts by supporting RFQs, RFPs, and Statements of Work (SOWs), including defining technical approaches, resourcing, pricing models, and delivery timelines in collaboration with sales and leadership teams. What We Need to See from You
- Experience as a Solution Architect, Technical Lead, or Technical Pre‑Sales Lead, preferably in AI, ML, Data & Analytics, or cloud‑native solutions.
- Strong expertise in Microsoft Azure services, including Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, Azure AI Search, and core cloud services (compute, storage, networking, identity, and security).
- Proven experience in designing, building, and deploying AI/ML and GenAI solutions in production environments, including POCs, MVPs, and enterprise‑scale implementations.
- Strong understanding of LLM concepts including prompt engineering, fine‑tuning, evaluation frameworks, guardrails, RAG architectures, and multi‑agent systems.
- Experience with MLOps and modern DevOps practices, including CI/CD and Infrastructure as Code (Bicep, Terraform) for Azure environments.
- Strong problem‑solving, communication, and stakeholder management skills, with the ability to work effectively across technical and non‑technical teams in a consulting or fast‑paced workplace.
- Microsoft certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate) and familiarity with Microsoft Copilot ecosystem (Copilot Studio, M365 Copilot, GitHub Copilot) are highly desirable. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rt1k4
Highlights
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Company nameSoftwareone
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Job positionMicrosoft Azure GenAI – Presales Solution Architect (City of Sydney)
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