Azure Agentic AI Architect
About The Position
We are seeking a seasoned Azure AI Architect with deep expertise in Azure Generative AI, LLM-based solutions, and agentic AI systems. The role combines strategic architecture ownership with hands-on technical leadership, designing and deploying production-grade AI solutions on Azure. The candidate will define the Azure AI architecture roadmap across Generative AI, search, recommendation, and agentic AI; provide technical leadership and mentorship; and partner with business and engineering leaders to align AI initiatives with enterprise objectives. The architect will design and deliver Generative AI solutions with Azure OpenAI, Azure AI Foundry, and Azure AI Services; build agentic workflows and autonomous or semi-autonomous agents; and establish practices for prompt engineering, evaluation, monitoring, and governance. The role also integrates LLMs into enterprise applications and APIs, drives LLMOps, architects retrieval-augmented generation (RAG), search, and recommendation solutions, and defines the end-to-end ML/GenAI lifecycle. Security, Responsible AI, data governance, compliance, and enterprise standards are key considerations.
Requirements
- 12–15 years of experience in AI/ML engineering and architecture.
- 2 years of experience in Generative AI or Agentic AI.
- Deep expertise in Azure Generative AI, LLM-based solutions, and agentic AI systems.
- Hands-on experience designing and deploying production-grade AI solutions on Azure.
- Experience with Azure OpenAI, Azure AI Foundry, and Azure AI Services.
- Experience with LangChain, LangGraph, and tool/function-calling patterns.
- Experience integrating LLMs with enterprise applications using Azure Functions, REST APIs, and event-driven architectures.
- Experience with Azure AI Search (Cognitive Search), Cosmos DB, and vector stores.
- Strong leadership capabilities.
Responsibilities
- Define and own the Azure AI architecture roadmap for Generative AI, search, recommendation, and agentic AI solutions.
- Design scalable, secure, and cost-optimized AI architectures using Azure-native services.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Partner with business and engineering leaders to align AI initiatives with enterprise objectives.
- Architect and deliver Generative AI solutions using Azure OpenAI, Azure AI Foundry, and Azure AI Services.
- Design and implement agentic AI workflows using LangChain, LangGraph, and tool/function-calling patterns.
- Build autonomous and semi-autonomous agents capable of reasoning, planning, and orchestration.
- Establish best practices for prompt engineering, evaluation, monitoring, and governance.
- Integrate LLMs into enterprise applications using Azure Functions, REST APIs, and event-driven architectures.
- Implement secure, scalable API layers for AI services with authentication, throttling, and observability.
- Drive adoption of LLMOps practices, including prompt versioning, model monitoring, and feedback loops.
- Architect RAG-based solutions using Azure AI Search (Cognitive Search), Cosmos DB, and vector stores.
- Design semantic search, ranking, and recommendation pipelines for high-quality user experiences.
- Implement real-time and batch feedback loops to continuously improve relevance and accuracy.
- Define end-to-end ML/GenAI lifecycle architecture, including ingestion, orchestration, deployment, and monitoring.
- Leverage Azure-native DevOps and CI/CD pipelines for AI workloads.
- Ensure compliance with Responsible AI, data governance, security, and enterprise standards.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
