> Markdown version of [/jobs/ext/4577003-gen-ai-architect](https://www.wearedevelopers.com/jobs/ext/4577003-gen-ai-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). --- # Gen Ai Architect - **Company:** Lorven Technologies Inc - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Storage, Data Architecture, Identity and Access Management, NoSQL, OAuth, Role-Based Access Control, Search Technologies, SQL Databases, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Event Driven Architecture, Information Technology, Google Cloud Functions, CrewAI, Invoking Functions, Artificial Intelligence Governance, Google Gemini, Restful APIs, Data Pipelines, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/0e9a6c72-e102-4350-89ef-2de029797ace ## About the Role * Bachelor's degree or Master's Degree in Computer science or a related field, with a minimum of 10+ years of experience. * Strong hands-on experience in Google Cloud Platform (Google Cloud Platform) architecture. * Expertise in Vertex AI, Gemini API, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, and GKE. * Strong experience in Generative AI, LLMs, Gemini models, Prompt Engineering, and Context Engineering. * Hands-on experience designing and implementing RAG architecture, embeddings, vector databases, semantic search, and grounding techniques. * Strong experience in Agentic AI, AI Agents, Multi-Agent Orchestration, Tool Calling, and Function Calling. * Experience with Google ADK, LangChain, LangGraph, or CrewAI. * Strong knowledge of REST APIs, Microservices, Event-Driven Architecture, and enterprise system integration. * Experience in AI Security, IAM, OAuth, RBAC, AI Guardrails, Responsible AI, and LLM Observability. * Strong understanding of SQL, NoSQL, BigQuery, data pipelines, and enterprise data architecture. * Experience designing secure, scalable, highly available, and cost-optimized cloud-native solutions. * Excellent communication and collaboration skills