About the Role
The GenAI Solution Architect is responsible for estimating, solutioning, and developing scalable architecture aligned to a business strategy and benefits case. This role requires understanding how various parts of business processes, operating systems, and application architectures work together to design specific AI solutions that fit a client’s environmental requirements. The Solution Architect takes ownership of technology-related aspects of AI across the Microsoft ecosystem, adhering to Avanade’s AI methodologies and industry best practices. You will be accountable for recommending appropriate technology solutions, delivering architectural/technical solution designs, and client proposals. Success in this role requires leveraging our global network (across Accenture, Microsoft, & our Partners) and openly sharing ideas, knowledge, and resources to create AI solutions that provide insightful and accurate analysis for 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 customer's business requirements to define AI & IoT value proposition and solution scope.
- Analyze client processes, identify AI opportunities, and recommend an 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 an 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.
Skills & Experience
- You are 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.
Preferred Experience/Capabilities
- 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.
- Likely a MSFT Certified Data Science Associate with approximately five to seven years in a similar professional position.
- Cross-talent community skillset.
- Strong management consultant.
- Strong software or engineer/architect.
- Decent data scientist.
- Decent infrastructure architect.
- Enterprise Architect.
- Capable of discussing 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 its discreet components.