Solution Architect - AI

The role involves leading the design and delivery of scalable AI solutions on the Microsoft Azure platform, leveraging services such as Azure Machine Learning, Azure Cognitive Services, and OpenAI on Azure. The Solution Architect translates business requirements into end‑to‑end AI architectures, oversees the full AI lifecycle from data preparation to deployment, and integrates open‑source frameworks into cloud‑native solutions. The role ensures engineering excellence through MLOps, responsible AI practices, enterprise integrations, and cost‑optimized deployments, while acting as a trusted technical advisor and mentoring teams to deliver business‑aligned AI outcomes.

Strong experience with the Microsoft AI/ML stack, including:
Azure Machine Learning
Azure Cognitive Services
OpenAI on Azure
Azure Synapse Analytics
Power BI with AI capabilities
Proficiency in Python (preferred), with exposure to R or C#.
Hands‑on experience with open‑source AI frameworks: TensorFlow, PyTorch, Hugging Face, Scikit‑learn.
Strong understanding of data modeling, statistics, and algorithm development.
Experience designing cloud‑native AI architectures using Docker and Kubernetes.
Solid knowledge of MLOps, CI/CD pipelines, and AI lifecycle management.
Experience working in agile, cross‑functional teams.
Excellent communication, leadership, and presentation skills.

Preferred Qualifications

Microsoft certifications such as:
Azure AI Engineer Associate
Azure Data Scientist Associate
Azure Solutions Architect Expert
Experience integrating AI solutions with Microsoft Power Platform and Dynamics 365.
Hands‑on exposure to generative AI, including GPT models, prompt engineering, and fine‑tuning on Azure.