About the Role
Join a team dedicated to driving inventive transformation through strategic, creative, and scientific capabilities. In this role, you will lead the architecture and technical design for enterprise Azure AI solutions, working collaboratively with clients to address their challenges through innovative technology and design.
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Responsibilities
- Lead architecture and technical design for enterprise Azure AI solutions across GenAI, agentic AI, RAG, AI Search, integration, security, observability, and AI Factory platform patterns.
- Design Azure AI architectures for GenAI, agentic AI, RAG, enterprise copilots, and AI Factory platforms.
- Define patterns across Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Fabric, Databricks, and integration services.
- Lead technical discovery with IT, data, security, and enterprise architecture stakeholders.
- Create reference architectures, proposal solution blueprints, technical assumptions, and PoC plans.
- Guide MVPs covering environment setup, secure connectivity, data ingestion, retrieval, agents, evaluation, and monitoring.
- Embed guardrails, content safety, logging, identity, access control, and human oversight into designs.
Experience and Skills Required
- 8-12+ years in solution architecture, cloud architecture, data/AI architecture, or platform engineering.
- 4-5+ years designing Azure solutions, ideally with production AI or client-facing implementations.
- Hands-on experience in GenAI, RAG, LLM app, agentic AI, MLOps/LLMOps, or AI platform engineering.
- Secure enterprise integration experience: identity, APIs, private networking, monitoring, and cloud governance.
- Strong experience in Python is a plus but its knowledge is mandatory.
- Familiarity with Azure AI Foundry and Azure OpenAI.
- Experience with Azure AI Search, vector search, embeddings, and RAG.
- Understanding of Azure Machine Learning, evaluation, and deployment concepts.
- Knowledge of Microsoft Fabric, Azure Databricks, ADLS Gen2, and data integration.
- Experience with Azure Functions, Logic Apps, Event Grid, Service Bus, and API Management.
- Familiarity with Entra ID, managed identities, Key Vault, private endpoints, VNet integration, RBAC, and logging.
- Proficient in agentic AI, tool calling, orchestration, memory, observability, and evaluation.
- Preferred certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.
- Experience in AI and Cloud FinOps.
Benefits & Additional Information
- The company is a global business and technology transformation partner with a focus on digital and sustainable development.
- Team members are part of a diverse group of 340,000 individuals across more than 50 countries.
- A strong focus on leveraging technology to address business needs with end-to-end services and solutions.
- Opportunities for professional growth and a collaborative work environment.
