Ai Architect

Job Description

As a key technical contributor, you will design, build, and implement AI models and intelligent applications as part of Avanade's Data & AI portfolio. You will work hands-on with Microsoft Azure AI services, machine learning frameworks, and modern engineering practices to develop solutions that address real business problems.

While the AI Architect focuses on high-level solution design and pre-sales support, your role focuses on delivering the technical foundations: implementing models, supporting architecture with detailed designs, and ensuring the AI components are robust, scalable, and production-ready. You will collaborate closely with business stakeholders, Solution Architects, Data Engineers, and Data Scientists to ensure that what we build actually works — and delivers value.

Together, we do what matters.

Key Responsibilities:

• Translate business and functional requirements into detailed AI solution components and technical tasks.
• Analyze current client processes, data sources, and system architecture to identify opportunities for AI-driven enhancements.
• Develop machine learning and AI models using Python, Azure Machine Learning, Azure Cognitive Services, and modern ML frameworks.
• Build and optimize end-to-end pipelines for data preparation, feature engineering, training, evaluation, and deployment.
• Support Solution Architects by contributing detailed technical insight, assumptions, and effort estimation for AI-related workstreams.
• Identify risks, constraints, and dependencies within AI development cycles and communicate these clearly to project leaders.
• Implement best practices for model versioning, testing, monitoring, and lifecycle management.
• Participate in code reviews, solution validation, and technical documentation efforts to ensure quality and maintainability.
• Collaborate cross-functionally with data engineers, product owners, business analysts, and other technical specialists throughout the delivery lifecycle.
• Mentor junior team members by sharing technical expertise and supporting their development through hands-on guidance.

Job Qualifications

• Strong programming skills with Python and familiarity with ML/AI libraries (e.G., Scikit-learn, TensorFlow, PyTorch).
• Experience working with Azure AI services such as Azure Machine Learning, Cognitive Services, Azure OpenAI, or Data Lake technologies.
• Understanding of the data science lifecycle, including experimentation, model development, validation, and deployment.
• Experience building prototypes, proofs of concept, or MVPs to demonstrate AI capabilities and validate solutions.
• Ability to evaluate datasets, determine appropriate modeling techniques, and justify technical decisions.
• Strong analytical and problem-solving skills with attention to detail and quality.
• Experience working within multi-disciplinary teams and communicating technical concepts in a clear, business-relevant manner.
• Familiarity with containerization (Docker), CI/CD, or MLOps concepts is a plus.
• A passion for staying current with developments in AI, ML, and cloud technologies.