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Enterprise AI Architect

3 weeks, 5 days ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure CI/CD Databricks GCP Generative AI Kubernetes LLM MLOps Python Snowflake Vertex AI
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Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 81

Description

  • Define enterprise AI architecture, standards, and technology roadmap.
  • Design and deliver production-ready Generative AI and Agentic AI solutions.
  • Architect scalable AI platforms using 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 with Generative AI, Agentic AI, RAG, or AI Agents is highly desirable.
  • Experience with AI orchestration frameworks such as LangChain or LangGraph is highly desirable.
  • Experience with vector databases, knowledge retrieval, AI governance, Responsible AI, Cloud AI services, MLOps, CI/CD, Kubernetes, or containerized deployments is highly desirable.
  • Excellent stakeholder management and executive communication skills.
  • Experience leading cross-functional technical teams and enterprise-scale initiatives.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, entrepreneurial environment.
  • High degree of individual responsibility.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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