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.
BenefitsSignificant 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.
