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Microsoft Azure GenAI – Presales Solution Architect - job post

SoftwareOne
3.6 out of 5 stars
277 William Street, Melbourne VIC
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Location

277 William Street, Melbourne VIC

Full job description

Job Function: Sales The role:
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 environment.
  • 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.
Why SoftwareOne?:


SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.

Accommodations:
SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.
Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
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