Drive the design and implementation of AI solutions on Microsoft Azure to deliver measurable business outcomes
Architect and deploy AI services using Azure OpenAI, Azure AI Search, Cognitive Services, Azure Foundry, and Azure ML
Build and fine‑tune models; implement MLOps for deployment, monitoring, and governance
Integrate AI into enterprise workflows via APIs and event‑driven patterns
Optimize prompts, retrieval, and orchestration for relevance and safety
Ensure compliance, security, and performance across the solution lifecycle

Proven experience with Azure AI and Azure ML; strong Python or C# skills
Solid understanding of ML concepts (data prep, feature engineering, evaluation, drift monitoring)
Familiarity with RAG patterns, embeddings, and vector databases
Cloud architecture knowledge (CI/CD, IaC, observability)
Ability to communicate clearly with technical and non‑technical stakeholders
Nice to Have Power Platform/Dynamics 365 integration experience
Consulting background with outcome‑focused delivery
Relevant Microsoft certification (eg. AI-102, AZ-104, AZ-400, DP-100, SC-100)

Technical AI Engineer

Key skills