Description

Key Responsibilities
Design and deploy enterprise-scale AI amp; GenAI solutions
Build AI Agents, Multi-Agent Systems, RAG Applications amp; AI Copilots
Develop ML models for forecasting, recommendations, anomaly detection amp; predictive analytics
Architect end-to-end AI platforms and MLOps ecosystems
Integrate LLMs with enterprise systems, APIs, databases amp; business applications
Drive AI strategy, stakeholder engagement, and digital transformation initiatives

Required Skills
Generative AI, Agentic AI, LLMs
GPT, Azure OpenAI, Claude, Gemini, Llama, Mistral
Prompt Engineering, RAG, Semantic Search, Vector Databases
LangChain, LangGraph, LlamaIndex, Semantic Kernel
Machine Learning, Deep Learning, NLP, Predictive Analytics
Python, SQL, REST APIs
Google Vertex AI
MLOps, Model Monitoring, Feature Engineering, ETL

Preferred Experience
AI Assistants amp; Enterprise Copilots
Multi-Agent AI Systems
Supply Chain, Logistics, Manufacturing, Finance, Procurement, Customer Operations
Responsible AI, AI Governance amp; AI Security
Microsoft Copilot Studio, Azure AI Foundry, Power Platform AI

What Youll Do
Lead high-impact AI innovation programs
Deliver measurable business value through intelligent automation
Partner with business leaders to shape AI strategy
Build scalable AI solutions that transform enterprise operations

Key Skills

Education

Any Graduate