Hyperscale AI Architect & Orchestration Lead

Tiger Analytics

United States

On-site

USD 160,000 - 230,000

Full time

4 days ago

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Job summary

Tiger Analytics seeks an experienced Agentic AI Architect with Gen AI expertise to design cloud-native AI pipelines across Azure, AWS, or GCP. The role bridges business strategy and technical execution, focusing on autonomous AI agents, memory fabrics, guardrails, and tool execution.

You will collaborate with executives and engineering teams to turn AI product visions into enterprise platforms. The ideal candidate combines strategic vision with hands-on coding, building PoCs/MVPs, and driving

Qualifications

5+ years of cloud solutions architecture on Azure, AWS, or GCP.
2+ years of LLM/AI app development (RAG, autonomous agents, tool-calling).
Hands-on experience with multi-agent orchestration frameworks (LangGraph, LangChain, etc.).
Strong Python/TypeScript/Java production-grade coding skills and CI/CD for AI (LLMOps).
Experience with vector databases and enterprise search (Azure OpenAI Search, OpenSearch, Vertex AI Search).
Excellent bilingual communication for non-technical stakeholders; BS/MS in CS/DS or related field.

Responsibilities

Define robust, secure, scalable architectures for autonomous AI agents and orchestration systems.
Prototype and validate architectural ideas with PoCs and MVPs in cloud environments.
Collaborate with product and executives to translate business problems into agentic workflows; provide technical leadership on AI governance and safety.
Evaluate emerging AI frameworks and tooling for enterprise viability.
Lead code reviews and establish production-grade engineering standards for AI systems.