> Markdown version of [/jobs/ext/4672220-senior-ai-transformation-architect](https://www.wearedevelopers.com/jobs/ext/4672220-senior-ai-transformation-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Transformation Architect - **Company:** InfoVision, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, BigQuery, Data Systems, PostgreSQL, MongoDB, OpenAI, Enterprise Data Management, Google Cloud, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Event Driven Architecture, Kubernetes, Cassandra, AutoGen, Machine Learning Operations, Claude, Virtual Agents, Evaluation of Large Language Models, Google Gemini, Terraform, Docker, Microservices - **Published:** November 11, 2026 - **Apply:** https://www.dice.com/job-detail/601e83bb-54f4-45ea-b875-ed6f55c7b576 ## About the Role * Deep hands-on Google Cloud Platform expertise (Vertex AI, BigQuery, GKE, Cloud Run, Pub/Sub) * Cross-platform AWS experience (Bedrock, SageMaker, EKS, Lambda) * Hands-on LLM integration - OpenAI, Anthropic Claude, Google Gemini (not just theoretical) * AI agent frameworks - LangChain, LangGraph, AutoGen, Google ADK, or similar * RAG pipelines, vector databases, prompt engineering, LLM evaluation * Enterprise data systems - MongoDB, PostgreSQL, Cassandra * Microservices, event-driven architecture, Docker/Kubernetes, Terraform * Production delivery mindset - this is a build role, not advisory Nice to Have: * Telecom/carrier-grade enterprise experience * MCP server development * Google Cloud Platform or AWS certifications * AI governance / CoE leadership experience ## Description Senior AI Transformation Architect to lead enterprise AI initiatives - designing and delivering production-grade AI/LLM solutions, cloud architectures, and data systems at scale.