AI Architect

AI Architect, AI foundry, Azure,Python
10 years exp, AI Foundry, Azure ML, Azure OpenAI, Cognitive Services, Python, Git Hub / Azure Dev Ops, ML OPS
Vector database, Agentic framework

Role Description s:
We are seeking an experienced AI Architect| Azure graph| logic apps to design| develop| and deploy enterprise-grade AIML solutions using Azure AI Foundry| Python| and modern AI frameworks. The ideal candidate will lead architecture decisions| build scalable AI systems| and guide teams in implementing cutting-edge AI solutions including Generative AI (LLMs)| NLP| and predictive models.

Key Responsibilities Architecture Design Design end-to-end AI architectures using Azure AI Foundry| Azure OpenAI| and related services

Define scalable| secure| and cost-efficient AIML solutions

Select appropriate models (LLMs| embeddings| ML models) based on use case AIML Development Develop AI pipelines using Python| leveraging frameworks like

LangChain Semantic Kernel Hugging Face Transformers Py Torch  Tensor Flow Build  and deploy

Chatbots copilots

RAG (Retrieval-Augmented Generation) systems

Forecasting predictive models Azure AI Foundry Ecosystem Work with Azure AI Foundry (model orchestration| prompt flows)
Azure OpenAI Service Azure Machine Learning Azure Cognitive Services Implement MLOps LLMOps pipelines Integration APIsBuild REST APIs and microservices for AI solutions

Integrate AI systems with enterprise platforms (CRM| ERP| healthcare systems| etc.) Data Engineering Design data pipelines using

Azure Data Factory Synapse Databricks Spark Handle structured unstructured data for AI workloads Governance Responsible AIEnsure compliance with

Data privacy policies (HIPAA| GDPR where applicable)
Implement Model monitoring

Bias detection explainability Technical Skills Strong Python programming (must-have)
Hands-on with Azure AI Foundry Azure OpenAIExperience with LLMs| Prompt Engineering| RAG pipelines

API development (FastAPI| Flask)
Cloud architecture knowledge (Azure preferred) AIML Expertise Machine Learning lifecycle

NLP Generative AIModel fine-tuning and evaluation Tools Frameworks Lang Chain  Semantic Kernel Vector databases (FAISS| Pinecone| Azure AI Search)
Docker| Kubernetes

CICD pipelines
Essential

Skills:

We are seeking an experienced AI Architect| Azure graph| logic apps to design| develop| and deploy enterprise-grade AIML solutions using Azure AI Foundry| Python| and modern AI frameworks. The ideal candidate will lead architecture decisions| build scalable AI systems| and guide teams in implementing cutting-edge AI solutions including Generative AI (LLMs)| NLP| and predictive models.

Key Responsibilities Architecture Design Design end-to-end AI architectures using Azure AI Foundry| Azure OpenAI| and related services

Define scalable| secure| and cost-efficient AIML solutions

Select appropriate models (LLMs| embeddings| ML models) based on use case AIML Development Develop AI pipelines using Python| leveraging frameworks like

LangChain Semantic Kernel Hugging Face Transformers Py Torch  Tensor Flow Build  and deploy

Chatbots copilots

RAG (Retrieval-Augmented Generation) systems

Forecasting predictive models Azure AI Foundry Ecosystem Work with Azure AI Foundry (model orchestration| prompt flows)
Azure OpenAI Service Azure Machine Learning Azure Cognitive Services Implement MLOps LLMOps pipelines Integration APIsBuild REST APIs and microservices for AI solutions

Integrate AI systems with enterprise platforms (CRM| ERP| healthcare systems| etc.) Data Engineering Design data pipelines using

Azure Data Factory Synapse Databricks Spark Handle structured unstructured data for AI workloads Governance Responsible AIEnsure compliance with

Data privacy policies (HIPAA| GDPR where applicable)
Implement Model monitoring

Bias detection explainability Technical Skills Strong Python programming (must-have)
Hands-on with Azure AI Foundry Azure OpenAIExperience with LLMs| Prompt Engineering| RAG pipelines

API development (FastAPI| Flask)
Cloud architecture knowledge (Azure preferred) AIML Expertise Machine Learning lifecycle

NLP Generative AIModel fine-tuning and evaluation Tools Frameworks Lang Chain  Semantic Kernel Vector databases (FAISS| Pinecone| Azure AI Search)
Dock