> Markdown version of [/jobs/ext/3554265-cloud-ai-architect](https://www.wearedevelopers.com/jobs/ext/3554265-cloud-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). --- # Cloud / AI Architect - **Company:** Eliassen Group - **Location:** Boston, MA, United States (Remote available) - **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, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, AI Platforms, Information Technology, Data Management, Machine Learning Operations, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://dejobs.org/x/x/C09E0EEBBC84466C8911349040AB1856/job/ ## About the Role * 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields. * Proven experience architecting and delivering enterprise AI/ML solutions in large-scale environments. * Strong hands-on experience with AWS Agent Core and building Agentic AI frameworks, workflows, and orchestration pipelines. * Experience designing, implementing, and scaling Retrieval-Augmented Generation (RAG) architectures in enterprise environments. * Demonstrated ability to develop proof-of-concept solutions and transition them into scalable production platforms. * Experience evaluating or implementing cloud-native AI solutions across AWS and/or Google Cloud Platform (GCP). * Strong understanding of large language models (LLMs), vector databases, embeddings, prompt engineering, and agent orchestration patterns. * Experience integrating AI solutions with enterprise applications, APIs, and data ecosystems. * Prior experience serving in an Architect, Principal Engineer, or similar technical leadership role. * Exceptional communication and stakeholder management skills with the ability to simplify technical concepts for business audiences. Preferred Qualifications * Experience building internal AI platforms or AI Centers of Excellence. * Knowledge of AI governance, security, scalability, and operational best practices. * Experience with modern AI frameworks, agent orchestration tools, and vector search technologies. * Telecommunications or large enterprise experience is a plus., * Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. * Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline preferred. * Relevant cloud and AI certifications are highly desirable. ## Description * Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflow automation platforms. * Build proof-of-concept and production-ready AI pipelines leveraging AWS Agent Core and modern agent-based architectures. * Design and implement Retrieval-Augmented Generation (RAG) frameworks to support scalable enterprise knowledge retrieval and AI-driven decision-making. * Define architectural standards, patterns, and best practices for AI agents, orchestration workflows, vector search, and enterprise data integration. * Evaluate and recommend cloud platform strategies across AWS, GCP, and other emerging AI ecosystem technologies. * Collaborate with business and technical stakeholders to translate complex requirements into scalable AI solutions. * Provide technical leadership while remaining hands-on with prototyping, pipeline development, and solution implementation. * Partner with cross-functional teams to identify opportunities for AI-driven process optimization and workflow enrichment. * Communicate complex technical concepts to technical and non-technical audiences, including customer-facing discussions and executive-level presentations. * Support enterprise adoption of AI capabilities through architecture reviews, technology assessments, and implementation guidance. ## Related Videos - [Exploring LLMs across clouds](https://www.wearedevelopers.com/videos/1457-exploring-llms-across-clouds) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [This App Reached 10,000 Users in One Week. 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