AI Solutions Architect

Role Overview

As an Analytics Architect within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's 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 shape the strategic direction around data architecture.

What You Will Do

As an AI architect assigned to a client project, you will typically 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.

Why It Might Be a Fit

You are passionate about tech and engaging with and advising clients. You likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning. Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required.

Requirements

• Excellent working knowledge of Microsoft
• Proficiency in Azure AI Services including Azure ML, Azure Cognitive Services, and Azure Bot Services
• Knowledge of similar services in other cloud platforms like AWS and GCP
• Strong understanding of different types of ML models, including Large Language Models (LMM)
• Skill in programming with Python, R, or.NET
• Awareness of channels to market and how to work in a Microsoft and partner eco system to ensure Customer Success
• Working knowledge and experience of Microsoft Funding processes such as ECIF, GTM Solution Plays / Marketplace and GTM Workshop Offers
• Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve platforming/re-platforming Data Solutions within Azure cloud
• Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior (“C level”) client executives
• Experience in designing and delivering large-scale enterprise grade AI solutions
• Identifying and designing for key architectural characteristics such as performance, security, and reliability

Benefits

• Australian citizenship is required, and candidates must be eligible to obtain security clearance
• This position is open only for Sydney based resources