Senior AI Lead & Architect — Conversational & Agentic Systems

brihatisglobal; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Brihati Global Edge Solutions is seeking an experienced AI Lead / Architect to design and scale end-to-end AI architectures for production-grade applications. The role centers on coordinating AI agents, backend microservices, observability, and security, while aligning technical choices with business strategy.

The ideal candidate will define architectures for conversational AI, guide cross-functional teams, and implement responsible AI governance across enterprise platforms.

Qualifications

• Proven track record in AI/ML and production AI systems.
• Experience with agent orchestration frameworks (LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen).
• Strong knowledge of cloud-native AI platforms (Azure OpenAI/Foundry).
• Ability to design end-to-end AI architectures for enterprise use cases.

Responsibilities

• Design production-ready architecture for conversational AI and agent workflows.
• Guide cross-functional teams across frontend, backend, AI/ML, cloud, and security domains.
• Establish observability, monitoring, and governance for AI pipelines.
• Define integration patterns with enterprise systems and APIs.
• Communicate architectural decisions to technical and executive stakeholders.

Skills

AI/ML expertise

Conversational AI

Agent orchestration

LangGraph / LangChain

Azure AI / OpenAI

Cloud-native architecture

Leadership & guidance

Tools

LangGraph

LangChain

Semantic Kernel

CrewAI

AutoGen

RAG architectures

Vector databases

Job description

Brihati Global Edge Solutions is seeking an experienced AI Lead / Architect to design and scale end-to-end AI architectures for production-grade applications. The role centers on coordinating AI agents, backend microservices, observability, and security, while aligning technical choices with business strategy.

The ideal candidate will define architectures for conversational AI, guide cross-functional teams, and implement responsible AI governance across enterprise platforms.