Enterprise AI Architect
Summary
Design and implement enterprise-scale AI platforms and intelligent applications using Generative AI, LLMs, and cloud-native architectures for Fortune 1000 clients.
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.
Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.
You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.
Key Responsibilities
- Define enterprise AI architecture, standards, and technology roadmap.
- Design and deliver production-ready Generative AI and Agentic AI solutions.
- Architect scalable AI platforms leveraging cloud-native technologies and modern data ecosystems.
- Lead AI solution design, technical reviews, and architecture governance.
- Partner with engineering, data, security, and business teams to deliver enterprise AI initiatives.
- Evaluate emerging AI technologies and recommend architecture best practices.
- Ensure AI solutions meet security, governance, compliance, and performance requirements.
- Mentor engineering teams and drive AI adoption across the organization.
Requirements
- 12+ years of experience in enterprise architecture, solution architecture, or cloud architecture.
- Hands-on experience designing and implementing enterprise AI or Generative AI solutions.
- Strong understanding of LLMs, Agentic AI concepts, and modern AI application architectures.
- Experience building cloud-native solutions on AWS, Azure, or Google Cloud.
- Strong software engineering background with Python and API-based architectures.
- Experience with modern data platforms such as Snowflake, Databricks, or similar cloud data technologies.
- Experience in one or more of the following is highly desirable:
- Generative AI, Agentic AI, RAG, AI Agents
- AI orchestration frameworks (such as LangChain or LangGraph)
- Vector databases and knowledge retrieval
- AI governance, security, and Responsible AI
- Cloud AI services (AWS Bedrock, Azure OpenAI, Vertex AI)
- MLOps, CI/CD, Kubernetes, or containerized deployments
- Excellent stakeholder management and executive communication skills.
- Experience leading cross-functional technical teams and enterprise-scale initiatives.
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.
