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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Architect Enterprise AI - **Company:** Conquest Tech Solutions, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Mobile Application Development, Cloud Computing Security, Cloud Engineering, Information Systems, Data Governance, Graph Database, Identity and Access Management, Python (Programming Language), Key Management, Metadata Repositories, Oracle (Applications), Salesforce.Com, SAP (Applications), Search Technologies, Systems Integration, Software Technical Review, Unstructured Data, Enterprise Search, Enterprise Data Management, Data Logging, Enterprise Software Applications, Chatbots, Large Language Models, Snowflake, Grafana, Multi-Agent Systems, IT Architecture, Generative AI, Data Layers, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Virtual Agents, Api Design, Servicenow, Microservices - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/4de63971-a976-4813-ac58-012aba4374dd ## About the Role Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent relevant professional experience. 15+ years of software, solution, cloud, or enterprise architecture experience, including modern cloud-native applications. Strong understanding of Generative AI, LLM-based applications, RAG, embeddings, semantic/vector search, and enterprise knowledge retrieval. Experience designing AI agent/agentic architectures, including tool calling, context management, orchestration, memory, and human approval. Strong experience with APIs, microservices, event-driven architecture, integration patterns, and identity/access management. Experience with Python and/or modern application-development technologies and the ability to provide technical guidance to engineering teams. Strong understanding of structured and unstructured data architectures. Experience with cloud security including IAM, secrets management, encryption, logging, monitoring, and secure API integration. Experience translating complex business requirements into secure, scalable, production-ready technical architectures. Strong technical communication, architecture documentation, and stakeholder-management skills. Preferred Qualifications Master's degree in Computer Science, Engineering, AI/Data Science, or related discipline. Experience with Azure OpenAI/OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, or comparable enterprise AI platforms. Experience with AI agent frameworks, orchestration technologies, model gateways, and AI evaluation/observability tools. Experience with Snowflake and modern data-cloud/AI platforms. Experience integrating AI with enterprise platforms such as Salesforce, SAP, Oracle, ServiceNow, or comparable systems. Knowledge of knowledge graphs, semantic layers, data catalogs, and enterprise search. Experience establishing AI architecture standards, reference architectures, or reusable AI platforms within a large enterprise. ## Description The Senior Technical Architect Enterprise AI will define and govern the technical architecture for enterprise Generative AI applications, AI agents, knowledge solutions, and AI-enabled business processes. This role will establish secure, scalable, reusable architecture patterns connecting AI capabilities with enterprise data, APIs, knowledge, and business applications. The architect will provide technical leadership from concept through production and partner closely with engineering, data, cloud/platform, cybersecurity, enterprise architecture, and business teams. Key Responsibilities Define and evolve the enterprise reference architecture for Generative AI applications and AI agents. Design architectures for RAG, conversational AI, enterprise search, agentic workflows, and AI-enabled applications. Establish reusable patterns for model access, model gateways, prompt/context management, embeddings, vector/semantic search, knowledge retrieval, and agent orchestration. Design secure integration patterns connecting AI agents with enterprise applications, APIs, data, tools, events, and workflow services. Define identity, authorization, human-in-the-loop, and approval patterns for AI agents and higher-risk actions. Establish standards for AI security, evaluation, observability, tracing, auditability, resiliency, performance, and cost management. Evaluate AI models, platforms, frameworks, and emerging technologies and recommend appropriate enterprise standards. Develop reference architectures, reusable components, technical standards, architecture diagrams, and reference implementations. Conduct architecture and technical design reviews and provide technical leadership to development teams. Partner with Security, Privacy, Data Governance, and Responsible AI teams to embed appropriate controls into AI solutions. Ensure architectures are scalable, maintainable, API-driven, loosely coupled, and model/provider agnostic where appropriate. ## Related Videos - [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) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## 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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Got AI ideas but no money? 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