Remote Agentic AI Architect — Cloud-Native LLM Systems

Tiger Analytics Inc.; Myrtle Point (OR); Remote; USD 180,000 - 240,000; Full time

Job summary

Tiger Analytics is seeking an experienced Agentic AI Architect to design and bootstrap next-generation autonomous AI ecosystems. You will architect scalable multi-agent systems across Azure, AWS, or GCP, while hands-on prototyping and code reviews keep you close to production quality.

The role requires leadership in translating business goals into technical requirements and implementing robust guardrails for enterprise deployment. Remote US-based candidates are welcome.

Qualifications

• 5+ years designing cloud-native architectures on major hyperscalers.
• 2+ years building AI applications with LLMs, RAG, agents and tool-calling.
• Hands-on familiarity with orchestration frameworks like LangGraph, Semantic Kernel, AutoGen, CrewAI, LangChain.
• Bachelor's or Master's in CS/DS or related field.

Responsibilities

• Define robust autonomous AI agent architectures and cognitive workflows.
• Prototype PoCs/MVPs to validate architectural choices and de-risk complex agent workflows.
• Lead cross-functional collaboration with product, business and engineering leadership.

Skills

Cloud architecture

AI/LLM engineering

Agentic frameworks

Programming languages

Vector databases

Education

Bachelor's or Master's in CS/DS

Tools

Azure OpenAI

SageMaker

Vertex AI

Job description

Tiger Analytics is seeking an experienced Agentic AI Architect to design and bootstrap next-generation autonomous AI ecosystems. You will architect scalable multi-agent systems across Azure, AWS, or GCP, while hands-on prototyping and code reviews keep you close to production quality.

The role requires leadership in translating business goals into technical requirements and implementing robust guardrails for enterprise deployment. Remote US-based candidates are welcome.