Job role: AI Engineer -Technical consultant-AI Integration
AI with DE(Principal AI Architect / Technical Lead (AI Foundry + Copilot + Databricks + Leadership)
Experience: 8-12 yrs
:
Skills of Data Engineer-Databricks,Pyspark Python Azure datafactorySQL ADLS Secondary CICD-Building Retrieval Agents On Databricks
Building Single-Agent Applications on Databricks
Generative AI Application Evaluation & Governance -Deployment & mointoring
Knowledge of current LLMs and their capabilities,
prompt engineering, prompt generation, and evaluation
Knowledge of curreLangChain, Hugging Face Transformers, etc.
Working knowledge of Python and its libraries that support RAG applications, Agent, and LLM chain development
Working knowledge of current APIs for data preparation, model chaining, etc.
AI Engineer -Technical consultant-AI Integration
AI with DE(Azure AI Foundry, Azure Databricks, Python, LLMs / Generative AI, Prompt Engineering, AI Agents, Data Engineering, Azure Cloud Services, ML/AI Solution Development AI Governance)
- (Azure AI Foundry AI Engineer (Foundry + Databricks + Agent Development))
:
Total 8-12 yrs and Relevant - 4+ yrs
" Expertise in Azure AI foundry (Design , develop and deploy AI applications and agents using Azure AI foundry enabling scalable and governed AI solutions , robust Data Engineer with AI skills experience working with LLMs and Prompt engineering)
MUST HAVE :Expertise in Azure Databricks and Python.
AI Engineer -Technical consultant-AI Integration
:
Total 8-12 yrs , Relevant 4+ yrs
Azure AI Foundry + Azure OpenAI
Databricks + Mosaic AI + MLflow
RAG implementation experience
Agent development using LangChain/LangGraph/AutoGen
Python (Pydantic, FastAPI, PyTorch)
Evaluation frameworks and LLMOps
Docker + CI/CD + GitHub Actions
Experience taking GenAI solutions from PoC to Production
Stakeholder-facing communication skills
Databricks-based large-scale data engineering backgroundRole & responsibilities