Lead AI Engineer

🕒 August 4

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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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

• Lead AI architecture and engineering roadmap for Agentic AI platforms • Design and deliver scalable, production-grade AI solutions • Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure • Partner with clients to translate business needs into AI solutions and lead architecture discussions • Mentor AI engineers, conduct design/code reviews, and drive engineering best practices • Lead multiple engineering teams and manage delivery, risks, and technical roadmaps • Evaluate and adopt emerging AI technologies and frameworks • Serve as the primary technical interface for the client • Shape the AI roadmap and ensure successful delivery • Oversee multiple engineering pods and partner with client leadership

🎯 Requirements

• 10–15+ years in software engineering • 5+ years leading AI/ML engineering teams • Experience building and deploying enterprise AI platforms on AWS • Strong client-facing, solution architecture, and cross-functional leadership experience • Expert Python proficiency • Knowledge of GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, and MLOps • Experience with Golang, REST APIs, and asynchronous programming • Experience with AWS services including Bedrock/AgentCore, Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, and CloudWatch • Experience with microservices, Docker, Kubernetes, and distributed systems • Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership • Preferred: AWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems

🏖️ 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