Senior Agentic AI Architect for Autonomous AI Pipelines

Aimlroles; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Tiger Analytics is seeking an experienced Agentic AI Architect with Gen AI expertise to design and implement scalable AI agent architectures for enterprise environments. You will lead architectural decisions, build PoCs, and collaborate with product teams to translate business needs into actionable agentic workflows.

Join a fast-growing analytics consultancy serving Fortune 500 clients, steering governance, ethics, and secure, cost-efficient AI deployment across Azure, AWS, and GCP ecosystems.

Qualifications

• 5+ years of cloud architecture on at least one hyperscaler (Azure/AWS/GCP).
• 2+ years with LLMs & AI applications (RAG, autonomous agents).
• Hands-on with orchestration frameworks like LangGraph, LangChain, or similar.

Responsibilities

• Define robust, secure, and scalable architectures for autonomous AI agents and cognitive workflows.
• Actively build PoCs/MVPs to validate architectures and de-risk complex agent workflows.
• Translate business problems into structured agentic workflows and communicate ROI to leadership.

Skills

Cloud architecture

AI/LLM engineering

Agentic frameworks

Programming (Python/TypeScript/Java)

CI/CD for LLM Ops

Vector databases

Education

Bachelor’s or Master’s in CS/DS

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

LangChain

Job description

Tiger Analytics is seeking an experienced Agentic AI Architect with Gen AI expertise to design and implement scalable AI agent architectures for enterprise environments. You will lead architectural decisions, build PoCs, and collaborate with product teams to translate business needs into actionable agentic workflows.

Join a fast-growing analytics consultancy serving Fortune 500 clients, steering governance, ethics, and secure, cost-efficient AI deployment across Azure, AWS, and GCP ecosystems.