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 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. Together we do what matters.

Key Responsibilities

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 - you can expect a significant focus on applying cloud architectural patterns and migration strategies
Play a key role in Avanade's sales process with the responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business
As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization
Translate complex technical solutions and present them in different formats; to business decision makers into business outcomes, to Market in engaging video or blog format content, to internal Sales Teams in battle card format
Engage in early conversations with the client and/or sales team and support origination and deal qualification, become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in Orals, Client Presentations, and negotiations discussions with key client buyers
Complete pricing, using standard solution architecture processes, methods, estimating, and modelling tools to drive quality and minimize time to solution through process and reuse. Understand and leverage different Pricing Models and work with Sales Leads to articulate deal pricing. Ensuring a deal is both winnable and deliverable, mitigating potential risks

Qualifications

Skills and experiences

Excellent working knowledge of Microsoft; Proficiency in Azure AI Services including Azure AI Foundry, Azure ML, Microsoft Copilot Studio, and Power Automate; knowledge of similar services in other cloud platforms like AWS and GCP is highly regarded.
Strong understanding of different types of ML models, including Large Language Models (LMM) and approaches to train or adapt to meet different customer requirements.
Skill in programming with Python (must have), or SQL.
Awareness of channels to market and how to work in a Microsoft and partner eco system to ensure Customer Success.
High energy intent to help clients understand product and service evolution. Including Azure AI Foundry, Fabric and CoPilot
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, utilizing tools such as Databricks and Fabric
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

Data Science WFO (Bantul, DIY)

AI Architect