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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Architect - **Company:** Tiger Analytics - **Location:** Dallas, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Applications Architecture, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Continuous Integration, Data Architecture, Data Infrastructure, Dataspaces, Python (Programming Language), Software Engineering, Google Cloud, Large Language Models, Snowflake, Multi-Agent Systems, IT Architecture, Generative AI, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Api Design, Databricks - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f358e7b7b4fb5ca8 ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? 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