Enterprise AI Architect

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.