Enterprise AI Architect

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🔥 3 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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.***