> Markdown version of [/jobs/ext/220777-ai-model-deployment-administrator](https://www.wearedevelopers.com/jobs/ext/220777-ai-model-deployment-administrator). 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). --- # AI Model Deployment Administrator - **Company:** OpenKyber LLC - **Location:** United States - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Graph Database, Natural Language Processing, Unstructured Data, Event Driven Architecture, Containerization, Kubernetes, Machine Learning Operations, Data Pipelines, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fb347cc3bafa54cf ## About the Role 10 15 years in AI, ML, or enterprise architecture roles. Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms. Strong hands-on experience with: * Python * Cloud ML platforms-Azure * Vector DBs (Pinecone, DB Vector) * LangChain / LlamaIndex or similar orchestration frameworks * Fine tuning & embeddings Experience/familiarity with document chunking, knowledge graphs, and vectorization Expertise in document AI, NLP, and unstructured data processing. Strong architectural skills across: * Data pipelines * APIs and event-driven systems * Containerization (Docker/K8s) * Security-by-design Experience in financial services, preferably in commercial real estate credit, servicing, or asset management. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## 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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)