• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works. • Improve speed, quality and consistency across workflows using AI where it creates real business value.

• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works. • Improve speed, quality and consistency across workflows using AI where it creates real business value.

• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works. • Improve speed, quality and consistency across workflows using AI where it creates real business value.

• Design and build AI-powered applications and agents on the Azure AI stack (Azure AI Foundry, Azure OpenAI) • Develop agent orchestration, RAG pipelines and tool/function calling in C#/.NET using Semantic Kernel or Microsoft Agent Framework • Integrate LLM capabilities into enterprise applications and services (APIs, event-driven architectures) • Build and maintain knowledge bases and retrieval layers with Azure AI Search, embeddings and vector stores • Implement evaluation of AI outputs (test datasets, quality metrics, prompt iteration) so solutions are measurable, not just plausible • Apply enterprise-grade security, identity (Microsoft Entra ID), networking and observability practices to AI workloads • Automate build, deployment and analysis workflows with Azure DevOps pipelines • Work embedded with client technical teams in an Agile / Scrum environment • Present progress, solutions and recommendations to international stakeholders in English • Document architectures, patterns and decisions, and propose continuous improvement