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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Data Architect - **Company:** MatchPoint Solutions - **Location:** Kansas City, MO, United States (Remote available) - **Experience:** Experienced - **Salary:** $187,200.0 - $197,600.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Business Software, Encodings, Continuous Integration, Data Architecture, Information Engineering, Data Retrieval, Data Security, Github, Python (Programming Language), Performance Tuning, Azure Machine Learning, Search Technologies, Software Engineering, Cloud Platform System, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Backend, Fastapi, Build Management, Data Lakes, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Management, Virtual Agents, Api Design, Terraform, Databricks - **Published:** July 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us679fcb831aa5e1b23030da5937e52d50 ## About the Role * 8+ years of experience in software engineering, data engineering, AI/ML, or related technical fields. * 2+ years of hands-on experience building and deploying AI or LLM-based applications. * Strong experience with OpenAI, Claude, or similar LLM platforms and APIs. * Experience building agentic AI solutions and multi-agent workflows. * Strong understanding of prompt engineering, tool usage, and AI application design. * Experience designing and implementing RAG solutions and vector search technologies. * Proficiency in Python and API development. * Experience working with cloud platforms and modern data architectures. * Strong communication, leadership, and problem-solving skills. Preferred Qualifications * Experience with MCP (Model Context Protocol) and agent orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. * Experience with Databricks, Snowflake, Azure AI services, or similar platforms. * Background in workflow automation, analytics, pricing, sales, or customer-facing business applications. * Experience working in regulated enterprise environments. * Advanced degree in Computer Science, Data Science, AI, or a related field. ** Technical Environment Experience with the following technologies is highly desirable:** * OpenAI, Azure OpenAI, Claude * MCP (Model Context Protocol) * Python, FastAPI * LangChain, LangGraph, CrewAI * Databricks, Delta Lake * Vector databases and semantic search platforms * Azure, AWS, or other cloud environments * CI/CD pipelines and Infrastructure as Code (Terraform, GitHub Actions, Azure DevOps) ## Description Position Summary: We are seeking an experienced Agentic AI Data Architect to design, build, and deploy AI-powered applications that automate business processes and improve decision-making. This is a hands-on technical leadership role focused on developing production-ready AI solutions using large language models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and modern cloud data platforms. The ideal candidate will have a strong background in AI application development, data architecture, and software engineering, along with the ability to guide teams and establish best practices for enterprise AI adoption. Key Responsibilities AI Solution Design & Development: * Design and build agentic AI applications that automate business workflows and improve operational efficiency. * Develop AI solutions using LLMs, multi-agent architectures, and retrieval-augmented generation (RAG). * Create and optimize prompt engineering strategies, reasoning workflows, and AI integrations. * Build and maintain APIs, backend services, and AI application components. * Evaluate new AI technologies and recommend solutions that drive business value. Data Architecture & Integration * Design data retrieval and grounding strategies that connect AI applications to enterprise data sources. * Develop vector search, embedding, and knowledge retrieval solutions. * Partner with data engineering teams to ensure AI systems leverage reliable and secure data pipelines. * Establish standards for AI performance, accuracy, and reliability. Technical Leadership * Serve as a technical lead for AI architecture and development initiatives. * Provide guidance and mentorship to developers, engineers, and technical teams. * Review solution designs and help establish AI development standards and best practices. * Translate complex AI concepts into practical solutions for technical and business stakeholders. Platform & Automation * Support and enhance enterprise AI platforms and integrations. * Implement automation, CI/CD, and Infrastructure-as-Code (IaC) practices for AI deployments. * Maintain technical documentation, architecture diagrams, and implementation standards. 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