> Markdown version of [/jobs/ext/4662055-w2-only-digital-ai-architect-remote-fulltime](https://www.wearedevelopers.com/jobs/ext/4662055-w2-only-digital-ai-architect-remote-fulltime). 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). --- # (W2 Only) Digital AI Architect - Remote (fulltime) - **Company:** MetaSense Inc - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Google Cloud, Spring Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Agentic-AI, Togaf, Event Driven Architecture, Kubernetes, Enterprise Integration, Graphql, Api Design, Restful APIs, Semantic Kernel, Docker, Microservices - **Published:** November 10, 2026 - **Apply:** https://www.dice.com/job-detail/e78a2fd2-8f23-4975-a559-fac724fa9608 ## About the Role * 10+ years of software engineering and solution architecture experience. * Strong expertise in Python development. * Hands-on experience with GraphQL development and API design. * Experience building RESTful APIs and enterprise integration solutions. * Strong knowledge of Generative AI, LLMs, AI agents, prompt engineering, and RAG architectures. * Experience with enterprise architecture and distributed system design. * Strong understanding of microservices, event-driven architecture, and cloud-native applications. * Experience integrating AI models with enterprise platforms. * Excellent communication and stakeholder management skills. Preferred Qualifications * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Knowledge of AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar. * Experience with vector databases and AI orchestration frameworks. * Familiarity with Kubernetes, Docker, CI/CD, and DevOps practices. * Experience working in Agile/Scrum environments. * TOGAF or cloud architecture certifications are a plus.