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The AI Architect is responsible for designing and developing scalable AI solutions aligned to a business strategy and benefits case as well as supporting as an AI technical advisor and SME to help our clients scale their AI programs. The AI Architect will need to understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client's environmental requirements. The AI Architect takes ownership of technology related aspects of AI across the Microsoft ecosystem.

The AI Architect will adhere to Avanade's AI methodologies and industry best practices and will be accountable for recommending appropriate technology solutions, delivering architectural/technical solution designs, and client proposals. To be successful in this role you will need to be confident in leveraging our global network (across Accenture, Microsoft, & our Partners), working together and openly sharing ideas, knowledge, and resources. You are proficient in creating AI solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses.

Day to day, you will:

• Facilitate team, client meetings and pre-sales presentations.

• Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution scope.

• Analyze client processes, identify AI opportunities, and recommend approach based on analysis and client maturity.

• Estimate, solution, design, and help drive and deliver AI deals.

• Help build AI assets and enable internal and external stakeholders while growing capability and delivering high-quality solutions for clients.

• Assist in delivery as AI SME, Solution Architect, or Technical Architect

• Provide continuous advice, best practices, and quality assurance to AI project teams related to delivery approach and strategy.

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Skills/ Experience:

• You're an organized problem-solver with a talent for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the globe, to provide successful and accessible GenAI solutions that solve client problems.

• Management Consulting & SI Experience is strongly preferred.

• Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks such as TensorFlow, CUDA, ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI services.

• Applying data and analytics to business use cases

• Engineering background preferred in related areas - programming, custom software development, app dev.

• Data profiling, cataloging and mapping to enable the design and build of technical data flows

• Use validated methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.

• Experience in preparing data for consumption

• .Net (Software Engineering)

• Python (Analytics/Software Engineering)

• LLM solution architecture & solution development (Generative AI / Azure OpenAI)

• Time-Series Analytics (Analytics)

• Real-time or near real-time streaming data analytics (Analytics)

• Understanding of data science and machine learning principles (Analytics)

• DevOps, MLOps, SDLC, Agile Development

• Azure AI Services (including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services) and Azure ML.

Preferred Experience/Capabilities

• You probably have a master's degree or Ph.D. in a quantitative field such as computer science, applied mathematics, statistics or machine learning - or an equivalent combination of education and experience. You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years.

• Cross talent community skillset, one resource that has all these skills.

• Strong management consultant

• Strong software or engineer/architect

• Decent data scientist

• Decent infrastructure architect

• Enterprise Architect

• Can talk openly and easily about AI use cases in multiple industries (Manufacturing, Healthcare, Retail, Resources, etc.)

• Strong communication and customer facing skills.

• Capable of writing solid code

• Comfortable in a hands-on position

• Capable of seeing the big picture, and breaking it down to it's discreet components (being a good architect)

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