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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect 5 - Enterprise AI & Generative AI Architect (120622-1) - **Company:** Cullerton Group, LLC - **Location:** Peoria, IL, United States - **Experience:** Expert - **Salary:** $232,960 - **Contract:** Temporary to permanent - **Skills:** LangGraph Framework, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Engineering, Software Design Patterns, Distributed Systems, Python (Programming Language), Machine Learning, Microsoft Software, Natural Language Processing, Software Architecture, OpenAI, Search Technologies, Software Deployment, Software Engineering, Systems Integration, TypeScript, Enterprise Search, Enterprise Data Management, Google Cloud, LangChain, Retrieval-Augmented Generation, Snowflake, Multi-Agent Systems, Google Vertex AI, IT Architecture, Generative AI, Agentic-AI, AWS ECS, Containerization, AI Platforms, Kubernetes, Information Technology, Amazon Bedrock, Data Analytics, Azure AKS, Dataiku, Graph RAG, Restful APIs, Model Context Protocol, Prompt Orchestration, Network Server, Microservices - **Published:** November 14, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-7041786FEFEC1A3DC0/ ## About the Role * Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a closely related technical discipline. * 10+ years of relevant professional experience in enterprise solution architecture, AI architecture, software architecture, or closely related technical roles. * Proven experience designing and implementing enterprise AI and Generative AI solutions, including model integration patterns, enterprise AI platforms, and production architecture considerations. * Strong understanding of modern AI solution approaches, including Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), vector-based search, enterprise search, prompt orchestration, agentic AI, and multi-agent workflows. * Demonstrated experience conducting business discovery sessions, gathering business and functional requirements, and translating requirements into scalable solution architecture recommendations. * Experience designing enterprise solutions across cloud, on-premises, or hybrid environments, using platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). * Strong knowledge of APIs, microservices, cloud-native architectures, containerized workloads, distributed computing, and enterprise identity/security integration. * Experience guiding internal development teams through solution design, implementation planning, architecture reviews, and technical decision-making. * Ability to create reference implementations, lightweight prototypes, and technical demonstrations to validate or communicate proposed architecture approaches. * Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, notebooks, and containerized application patterns sufficient to evaluate technical approaches and guide development teams. * Experience documenting architecture designs, solution assumptions, dependencies, implementation considerations, and technical recommendations. * Strong analytical thinking, technical problem-solving, communication, facilitation, and cross-functional collaboration skills. * Ability to communicate complex technical concepts to both business stakeholders and engineering teams. * Ability to work 100% onsite in Peoria, IL, or Irving, TX, five days per week, starting Day1., * Experience with enterprise AI platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or Accenture AI Refinery. * Experience with AI development frameworks and orchestration technologies such as LangChain, LangGraph, GraphRAG, and agentic AI frameworks. * Familiarity with Model Context Protocol (MCP) servers, agent skills, agent harness patterns, and multi-agent orchestration architectures. * Experience with enterprise data and AI platforms such as Snowflake or Dataiku. * Experience with Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), or comparable enterprise container orchestration environments. * Experience creating reusable enterprise AI architecture patterns, reference implementations, solution accelerators, or technical frameworks. * Familiarity with enterprise AI governance, security considerations, model integration, and scalable production deployment practices. * Experience evaluating AI solution feasibility, technical dependencies, architecture tradeoffs, and integration requirements. * Cloud certifications in AWS, Microsoft Azure, or Google Cloud Platform. * Previous experience supporting enterprise-scale AI transformation, industrial technology, manufacturing, or globally distributed engineering organizations. ## Description The Solutions Architect 5 will support the design and development of enterprise Artificial Intelligence (AI), Generative AI, and data-driven solutions across complex cloud and on-premises environments. This role focuses on collaborating with business stakeholders, enterprise architects, and technical development teams to identify business needs, define AI use cases, and translate requirements into scalable solution architectures. The architect will evaluate technologies, integration patterns, and architectural tradeoffs while providing technical guidance, reference implementations, and implementation recommendations. The ideal candidate will have extensive enterprise solution architecture experience, strong knowledge of modern AI technologies such as Retrieval-Augmented Generation (RAG) and agentic AI, and the ability to bridge business requirements with practical technical solutions. Key Responsibilities * Lead and participate in business discovery sessions, collaborating with stakeholders to identify objectives, pain points, functional requirements, constraints, and opportunities for enterprise AI and Generative AI solutions. * Design and recommend scalable enterprise AI solution architectures, including RAG, vector search, enterprise search, prompt orchestration, agentic AI, multi-agent workflows, and model integration patterns. * Evaluate cloud, on-premises, and hybrid architecture options, including APIs, microservices, containerized applications, distributed computing platforms, and enterprise identity/security integration. * Provide architectural guidance to internal development teams, including implementation planning, solution feasibility analysis, technical tradeoff evaluations, reference implementations, and lightweight prototypes. * Collaborate with enterprise architects, data scientists, machine learning engineers, application developers, and business stakeholders to create architecture documentation, reusable design patterns, technical recommendations, and implementation roadmaps.