> Markdown version of [/jobs/ext/3869418-cloud-ai-architect-in-united](https://www.wearedevelopers.com/jobs/ext/3869418-cloud-ai-architect-in-united). 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). --- # Cloud / AI Architect in United - **Company:** Energy Jobline - **Location:** Carbon, WV, United States - **Experience:** Expert - **Salary:** $187,200.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Dataspaces, Machine Learning, Search Technologies, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, AI Platforms, Information Technology, Data Management - **Published:** October 22, 2026 - **Apply:** https://www.energyjobline.com/job/cloud-ai-architect-united-32028849 ## About the Role * 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields. \n * Proven experience architecting and delivering enterprise AI/ML solutions in large-scale environments. \n * Strong hands-on experience with AWS Agent Core and building Agentic AI frameworks, workflows, and orchestration pipelines. \n * Experience designing, implementing, and scaling Retrieval-Augmented (RAG) architectures in enterprise environments. \n * Demonstrated ability to develop proof-of-concept solutions and transition them into scalable production platforms. \n * Experience evaluating or implementing cloud- AI solutions across AWS and/or Google Cloud Platform (GCP). \n * Strong understanding of large models (LLMs), vector databases, embeddings, prompt engineering, and agent orchestration patterns. \n * Experience integrating AI solutions with enterprise applications, APIs, and data ecosystems. \n * Prior experience serving in an Architect, Principal Engineer, or similar technical leadership role. \n * Exceptional communication and stakeholder management skills with the ability to simplify technical concepts for business audiences. \n, * Experience building internal AI platforms or AI Centers of Excellence. \n * Knowledge of AI governance, security, scalability, and operational best practices. \n * Experience with modern AI frameworks, agent orchestration tools, and vector search technologies. \n * Telecommunications or large enterprise experience is a plus. \n, * Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. \n * Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline . \n * Relevant cloud and AI certifications are highly desirable. \n