We are seeking a Director level executive for Lead AI Architect with proven expertise in Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, embeddings, vector databases, and semantic search.

Role: AI Solution Architect

Experience:

15+ years of IT experience
8+ years in AI/ML development
3+ years in enterprise LLM/agentic AI solutions

Key Skills:

LangChain
LangGraph
Large Language Models (LLMs)
Agentic AI
embeddings
vector databases
semantic search
Azure AI
GCP AI
Python development
MLOps
Kubernetes
FAISS
Pinecone
Weaviate
Milvus

Role Focus:

Lead the end-to-end AI product lifecycle
Ensure all AI solutions are aligned with business KPIs, adoption metrics, and ROI goals
Collaborate with product, business, and architecture teams
Architect scalable enterprise AI applications
Apply integration design patterns
Ensure security, compliance, and resilience
Design and implement LLM-powered applications
Use LangChain design patterns
Apply LangGraph design patterns
Implement agentic AI architectures
Build and optimize embedding pipelines
Architect semantic search and RAG pipelines
Deploy AI workloads on Azure AI or Google Cloud AI
Lead MLOps practices
Be a hands-on leader

Other:

Mentor teams in LangChain/LangGraph design patterns
Drive best practices in AI development
Strong stakeholder management, communication, and leadership skills

AI Solution Architect

Skills Required

Description

Experience:

Key Skills:

Role Focus:

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