Remote Senior AI Architect: Multi-Agent & Generative AI

Exavalu Solutions India Pvt Ltd; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Exavalu Solutions India Pvt Ltd is seeking a hands-on AI Technical Architect with 12+ years of technology experience to design and implement enterprise AI solutions from POC to production. You will lead architecture decisions, advise on agent orchestration, LLMs, and cloud integrations, while ensuring security and governance.

The role emphasizes practical development in Python, LangChain, LangGraph, and CrewAI, plus strong focus on RAG, embeddings, vector databases, and enterprise-ready APIs and

Qualifications

• 12+ years of overall technology experience.
• Strong hands-on experience with Generative AI and Multi-Agentic AI.
• Advanced Python programming.
• Strong hands-on experience with LangChain and LangGraph.
• Experience with CrewAI or similar agent frameworks.
• Strong knowledge of LLMs, RAG, embeddings, vector databases, prompt engineering, and tool/function calling.
• Experience with APIs, microservices, and enterprise integrations.
• Experience with Azure, AWS, or GCP.
• Strong understanding of AI security, Responsible AI, governance, and guardrails.

Responsibilities

• Design Multi-Agentic AI architectures using agents, supervisors, planners, routers, and orchestration frameworks.

Skills

Generative AI

Multi-Agent AI

Python

LangChain

LangGraph

CrewAI

LLMs

RAG

Embeddings

Vector Databases

Prompt Engineering

Tool/Function Calling

APIs & Microservices

Cloud (Azure/AWS/GCP)

AI Governance & Security

Tools

Docker

Kubernetes

LangSmith

Langfuse

MLflow

OpenTelemetry

Job description

Exavalu Solutions India Pvt Ltd is seeking a hands-on AI Technical Architect with 12+ years of technology experience to design and implement enterprise AI solutions from POC to production. You will lead architecture decisions, advise on agent orchestration, LLMs, and cloud integrations, while ensuring security and governance.

The role emphasizes practical development in Python, LangChain, LangGraph, and CrewAI, plus strong focus on RAG, embeddings, vector databases, and enterprise-ready APIs and