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Tiger Analytics

Delivers Data and AI transformation

GenAI Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • 12+ years of overall experience in software engineering and solution or 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, including continuous integration/continuous delivery and infrastructure as code.
  • 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.
  • Ability to translate business requirements into robust technical architectures.

Responsibilities

  • Architect and design cloud-native, scalable Generative AI platforms leveraging Microsoft Azure services.
  • Define end-to-end system architectures integrating Generative AI components with enterprise applications.
  • Design and govern API-first architectures, including REST and 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 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 Generative AI solutions.
  • Review and approve solution designs to ensure alignment with enterprise and cloud architecture standards.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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