GenAI Architect

🕒 January 19

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 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

• Design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. • Architect and design cloud-native, scalable GenAI platforms leveraging Microsoft Azure services. • Define end-to-end system architectures integrating GenAI components with enterprise applications. • Design and govern API-first architectures, including REST/GraphQL APIs, service contracts, and integration patterns. • Implement security-by-design principles, including identity and access management, network security, data protection, and compliance standards. • Design and optimize event-driven architectures using messaging, streaming, and asynchronous processing patterns. • Lead architectural decisions around scalability, performance, reliability, and cost optimization. • Collaborate closely with engineering, data, AI, and platform teams to ensure successful implementation of architectural designs. • Provide technical leadership, mentorship, and architectural guidance across teams. • Establish best practices, standards, and reference architectures for GenAI solutions. • Review and approve solution designs to ensure alignment with enterprise and cloud architecture standards.

🎯 Requirements

• 12+ years of overall experience in software engineering and solution/enterprise architecture roles. • Strong experience designing cloud-native architectures on Microsoft Azure. • Experience architecting or supporting Generative AI or AI/ML platforms. • Experience with Azure AI services, Azure OpenAI, or AI orchestration platforms. • Experience with DevOps and cloud-native deployment patterns (CI/CD, IaC). • Proven expertise in building scalable, distributed systems using microservices and container-based architectures. • Deep understanding of API design and integration patterns, including security and governance. • Strong knowledge of security architecture patterns, including authentication, authorization, encryption, and compliance. • Hands-on experience designing event-driven systems using queues, topics, or streaming platforms. • Excellent ability to translate business requirements into robust technical architectures.

🏖️ Benefits

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.