Azure AI Architect

Must Have:

Azure ML, Azure OpenAI, Cognitive Services

AKS, Docker, Kubernetes

Python, REST APIs

GitHub / Azure DevOps, ML OPS

Roles & Responsibilities

We are seeking a highly skilled Azure AI / Agentic AI Architect to design, build, and scale enterprise-grade AI platforms using Azure AI Services.

The role focuses on multi-agent architectures, Generative AI, and intelligent automation, enabling business transformation through scalable, secure, and governed AI solutions.

Responsibilities

Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases.

Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines to enable scalable and reusable AI capabilities.

Develop and orchestrate multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.

Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.

Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms.

Design end-to-end AI architecture layers including interaction, orchestration, integration, model enablement, and data layers aligned with enterprise standards.

Evaluate and implement AI/ML models and tools based on performance, scalability, cost optimization, and use-case suitability.

Ensure Responsible AI, governance, and security compliance using Azure capabilities such as Entra ID, Key Vault, Content Safety, and enterprise guardrails.

Implement observability and LLMOps practices including monitoring, evaluation, drift detection, performance tuning, and telemetry using Azure Monitor and Application Insights.

Collaborate with cross-functional stakeholders (product, engineering, business teams) to convert business requirements into scalable AI solutions.

Develop architecture diagrams, technical documentation, and deployment strategies for enterprise AI platforms.

Lead PoCs and innovation initiatives to validate AI use cases and accelerate production adoption.

Must-Have Skills

Hands-on experience with Azure AI Services

Azure OpenAI

Cognitive Services

Azure AI Search

Strong experience in:

GenAI / LLMs

RAG

Prompt Engineering

Expertise in:

Agentic AI frameworks

Multi-agent orchestration

LangGraph

LangSmith

LangChain

Semantic Kernel

Experience in:

Python

Modern AI/ML frameworks

Knowledge of:

Vector databases

Embeddings

Semantic Search

Experience with cloud-native architectures (Azure preferred)

Strong understanding of:

APIs

Microservices

Enterprise system integration

Good-to-Have Skills

Experience with:

Azure AI Foundry

Agent Services

Prompt Flow

Knowledge of:

LLMOps / MLOps pipelines

CI/CD

Evaluation frameworks

Experience with:

Modern data platforms

Exposure to:

Responsible AI

AI governance frameworks

Summary of the Role

Position: Azure AI / Agentic AI Architect

Core Technologies:

Azure OpenAI

Azure AI Search

Azure AI Foundry

Agent Services

LangGraph

LangChain

Semantic Kernel

Python

RAG

LLMOps

Databricks

AKS / Kubernetes

Primary Focus: Building enterprise-grade multi-agent AI systems, copilots, RAG applications, AI automation platforms, and governed GenAI solutions on Azure.