> Markdown version of [/jobs/ext/1172942-genai-solution-architect](https://www.wearedevelopers.com/jobs/ext/1172942-genai-solution-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). --- # GenAI Solution Architect - **Company:** Lorven Technologies Inc - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $140,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Cursor (Graphical User Interface Elements), Python (Programming Language), Node.Js, Management of Software Versions, Data Logging, Google Cloud, Spring Cloud, Multi-Agent Systems, Prompt Engineering, Spring-boot, Software Security, Generative AI, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Restful APIs, Network Server, Docker, Microservices - **Published:** July 3, 2026 - **Apply:** https://www.careerjet.com/jobad/useaf13dfba7a1fcf60868d71914f174dd ## About the Role 15+ years in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based AI systems. Design & Implement Agentic AI systems using agent frameworks (AutoGen, LangGraph, CrewAI, etc.) to build multi-agent and goal-oriented systems. Proficiency in Prompt Engineering, few-shot prompting, chain-of-thought reasoning, and prompt templates. Familiarity with cloud-native AI platforms from AWS, Azure, or GCP (e.g., Bedrock, Azure OpenAI, Vertex AI). Experience on AI for Engineering & working with AI Code Assist tools (e.g., Copilot, Windsurf, Cursor) Experience working with Vector databases & design & deploy RAG pipelines, MCP Servers & A2A Implement robust LLMOPs - for continuous integration, deployment, monitoring, logging, and troubleshooting mechanisms for GenAI applications. Develop and promote reusable architectural patterns, best practices, and governance frameworks for GenAI development. Lead the end-to-end architectural design of Generative AI applications, ensuring scalability, performance, security, cost-effectiveness, and maintainability. Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines. Must have experience working with Microservice architecture using Spring Boot Rest APIs & know API Security, Versioning Must have experience designing CloudNative applications on any cloud such as AWS, Azure, GCP, Spring Cloud, PCF Programming proficiency in Python (preferred), and optionally Java/Node.js for integration. Collaborate with Data Scientists, Product Owners, and Business SMEs to translate business problems into AI-powered solutions. Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Stop using Node.js like in 2020! 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)