> Markdown version of [/jobs/ext/2695362-enterprise-architect-ai-genai](https://www.wearedevelopers.com/jobs/ext/2695362-enterprise-architect-ai-genai). 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). --- # Enterprise Architect - AI / GenAI - **Company:** Cogent IBS, Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $165,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Distributed Systems, Python (Programming Language), Search Technologies, Google Cloud, Large Language Models, Model Validation, HybridCloud, Event Driven Architecture, AI Platforms, Enterprise Integration, Virtual Agents, Api Design, Software Coding, Restful APIs, Microservices - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/0b3a2d11-bdc5-45e0-ac4f-ec3552c68acd ## About the Role * 10+ years of Enterprise/Solution/Technical Architecture experience. * Strong enterprise architecture experience across application, data, integration, cloud, and platforms. * Hands-on experience with AI/GenAI, LLMs, and RAG. * Mandatory hands-on Python experience with recent coding/prototyping. * Experience with AI/model evaluation and technical validation. * Strong cloud architecture experience with AWS, Azure, or Google Cloud Platform; AWS strongly preferred. * Experience with large-scale distributed systems and hybrid architectures. * Strong understanding of API-driven and event-driven architectures. * Experience with data architecture, governance, and enterprise integration. * Strong understanding of security, compliance, risk, scalability, and resiliency. * Excellent technical communication and ability to explain architecture decisions and tradeoffs. Preferred Technical Skills AI/GenAI: LLMs, RAG, Agentic AI, AI evaluation, AI governance Cloud AI: AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI RAG/Search: Vector databases, embeddings, semantic/hybrid search, reranking Development: Python, REST APIs, SDKs, automation, prototyping Architecture: Microservices, distributed systems, event-driven architecture, APIs, hybrid cloud, The ideal candidate is a hands-on Senior/Principal Enterprise Architect who can combine enterprise architecture leadership with practical AI engineering. They should be capable of taking a business problem, designing the architecture, writing code/prototyping the solution, evaluating AI models, and guiding the implementation. ## Description Citco Technology Management, Inc. is seeking a Senior Enterprise Architect to define and govern enterprise-wide architecture across applications, data, integration, cloud, platforms, and emerging technologies, with a strong focus on AI, GenAI, LLMs, and agentic automation. This is a hands-on technical architecture role, not a strategy-only or governance-only position. The ideal candidate will be able to independently design solutions, write Python, prototype and validate AI solutions, evaluate models, and work closely with engineering teams., * Define enterprise architecture principles, standards, reference architectures, and technology roadmaps. * Design scalable, secure, resilient cloud-native and hybrid architectures. * Provide technical leadership across application, data, integration, cloud, and AI initiatives. * Architect and evaluate GenAI, LLM, RAG, and agentic AI solutions. * Build prototypes and perform technical validation using Python. * Evaluate AI models based on quality, accuracy, performance, latency, cost, and reliability. * Design enterprise RAG architectures including embeddings, vector search, retrieval, and LLM integration. * Guide API-driven, event-driven, and enterprise integration architectures. * Establish architecture governance, security, compliance, risk, and AI guardrails. * Review and approve solution designs and guide engineering teams on implementation. * Evaluate emerging AI technologies and drive the evolution of enterprise AI platform capabilities. * Independently lead complex initiatives with minimal supervision. ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Insights from building the Canva Developers Platform to empower 185 million designers](https://www.wearedevelopers.com/videos/942-insights-from-building-the-canva-developers-platform-to-empower-185-million-designers) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)