Lead AI Architect, Delivery Manager

Job not on LinkedIn

🕒 September 30

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Own the end-to-end architecture of the Snowflake Cortex RAG pipeline, aligned with Enterprise TPRM Standards • Act as the primary technical liaison to client business owners, AI leads, and InfoSec SMEs • Lead UAT sessions with InfoSec SMEs and convert feedback into prioritized technical backlog items • Prepare the Model Development Documentation packet and drive AIEC-2 clearance before production deployment • Direct daily agile standups and sprint planning for the three-person offshore pod • Ensure milestone delivery within the SOW budget

🎯 Requirements

• Strong production Python development experience • Deep experience with Asyncio, FastAPI, design patterns, and distributed systems • 2+ years of direct, hands-on experience building, deploying, and debugging autonomous multi-agent systems in production using LangGraph, AutoGen, CrewAI, or LlamaIndex • Proven ability to build structured generation pipelines using Pydantic, Instructor, or native function schemas • Hands-on experience with PostgreSQL/pgvector, Pinecone, Qdrant, Milvus, or enterprise AI databases such as Oracle 23ai • Experience writing unit tests, integration tests, and regression evaluations for probabilistic, LLM-driven applications

🏖️ Benefits

• Significant career development opportunities as the company grows • Small, fast-growing, challenging and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by applicable federal, state, and local law