Tiger Analytics
via Workable
GenAI Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 239d ago
The date the source published, not the day we noticed it (2026-01-19). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2159 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen just now
The listing
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
We are seeking an experienced GenAI Architect to design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. This role requires deep architectural expertise in Azure, secure API-driven systems, and event-driven architectures, combined with the ability to translate business needs into scalable, production-ready GenAI systems.
The ideal candidate will bring strong hands-on and design experience across cloud architecture, security, and distributed systems, with the vision to architect GenAI solutions that are reliable, extensible, and enterprise-grade.
Requirements
- 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.
Required Qualifications
- 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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.