Lead Architect - Azure & Agentic AI Solutions

Required Skills & Experience

• 10+ years of experience in enterprise solution architecture, cloud architecture, platform engineering or related technology leadership roles.
• Strong hands-on architecture experience with Microsoft Azure and enterprise deployment patterns.
• Proven experience designing distributed systems, APIs, microservices, event-driven architectures, containerized workloads and cloud-native integrations.
• Strong understanding of GenAI and agentic AI architecture, including LLM orchestration, tool calling, RAG, state and memory patterns, evaluation, guardrails and human approval mechanisms.
• Ability to design architectures that combine conventional software services, AI/ML models, optimization engines, data pipelines and agentic workflows.
• Strong knowledge of security, identity, networking, observability, CI/CD, infrastructure-as-code and production operations in enterprise environments.
• Experience engaging with client architects, CIO/CTO organizations, cloud platform teams, security stakeholders and delivery teams.
• Strong ability to communicate architecture trade-offs to both technical and business stakeholders and drive decisions under real-world constraints.

Preferred Qualifications

• Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Databricks, AKS, Container Apps, API Management, Service Bus, Event Grid, Key Vault, Entra ID and Azure Monitor.
• Experience with agent orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, or equivalent patterns and frameworks.
• Exposure to supply chain, demand forecasting, planning, semiconductor or high-tech industry solutions.
• Experience with MLOps, LLMOps, model monitoring, prompt and agent evaluation and production AI governance.
• Relevant Azure architecture certifications or equivalent demonstrable experience.

Key Deliverables

Key Success Metrics