Job Description
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 Solution Architect, you bring expert-level knowledge in support of sales motions and project execution across Avanade's Data & AI portfolio, with a specific focus on AI systems leveraging Microsoft Azure Cognitive Services, deep learning and machine learning. Key to this role is a comprehensive understanding of the applications of data science to solve business problems and deliver business value. The successful individual will be able to work with clients to elicit and understand their needs and communicate AI concepts and approaches in an articulate and business-relevant manner in order to help achieve business outcomes. To be successful, the individual must be able to work effectively with a multi-disciplinary team consisting of business stakeholders, product owners, data engineers, and other data scientists.
Key Responsibilities:
Translate business requirements and goals to AI solutions leveraging strong business acumen and data science expertise;
Analyze current business practices, processes, and procedures as well as identifying future business opportunities;
Provide high-level and detailed architectural expertise in sales and projects, and assist peers on other analytics teams;
Identify risks, document assumptions, and develop work effort estimates;
Build relationships with Solution Architects and collaborate on promoting solution architecture best practices across the company;
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.
Qualification
Proven experience specifying architecture and models that address business needs while balancing cost, capability, and risk;
Strong understanding of the value proposition associated with AI;
Experience with Azure ML or Databricks ML Stack platform and Generative AI integration, Virtual Agent and Microsoft Bot Framework;
Ability to conduct data profiling, modelling, cataloging, and mapping for technical design and construction of technical data flows;
Able to explain complex analytical methodologies and concepts in non-technical language;
Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs.