AI Architect

🕒 January 12

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 56%

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

• Define robust, secure, and scalable architectures for autonomous and semi-autonomous AI agents, multi-agent orchestration systems, and cognitive workflows • Architect cloud-native AI pipelines on Azure, AWS, or GCP • Establish patterns for LLM orchestration, semantic memory storage, and state management • Integrate AI agents with legacy enterprise systems, APIs, RPA tools, and real-time data streams while optimizing cost, latency, and throughput • Build proofs of concept and minimum viable products to validate architectural approaches and de-risk complex agent workflows • Establish production-grade AI engineering coding standards • Conduct deep-dive code reviews for reliability, security, and optimal prompt/agent behavior • Evaluate emerging AI frameworks, tooling, and foundational models for enterprise viability • Partner with product managers and business stakeholders to translate business problems into agentic workflows and technical requirements • Educate engineering teams and advise executives on Agentic AI capabilities, limitations, and ROI • Collaborate with Security, Compliance, and Risk teams to architect AI guardrails supporting data privacy, hallucination mitigation, and ethical AI deployment

🎯 Requirements

• 5+ years of experience architecting cloud solutions on at least one major hyperscaler (Azure, AWS, or GCP) • Deep understanding of cloud-native microservices and serverless paradigms • 2+ years of direct experience working with Large Language Models (LLMs) and building complex AI applications, including RAG pipelines, autonomous agents, and tool-calling systems • Hands-on proficiency with orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain • Strong production-grade programming skills in Python, TypeScript, or Java • Experience in CI/CD pipelines for AI (LLMOps) • Proven experience with vector databases and enterprise search engines, such as Azure AI Search, Amazon OpenSearch, or Vertex AI Search • Ability to explain complex machine learning or architectural concepts simply to non-technical business leaders • Balanced approach between pioneering emerging AI trends and delivering stable, cost-effective enterprise software • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field, or equivalent practical experience • Preferred certifications: Azure Solutions Architect Expert, Azure AI Engineer Associate, AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, Google Cloud Professional Cloud Architect, or Professional Machine Learning Engineer • Applicants based in the United States or Canada are invited to apply

🏖️ Benefits

• Significant career development opportunities • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by applicable law