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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect - Azure & Cloud AI - **Company:** IBM - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Infrastructure, Data Integration, Software Design Patterns, Memory Management, Azure Machine Learning, Enterprise Data Management, Enterprise Software Applications, Azure Data Factory, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Microsoft Fabric, Operational Systems, Machine Learning Operations, Virtual Agents, Azure Synapse Analytics, Software Version Control - **Published:** August 16, 2026 - **Apply:** https://www.dice.com/job-detail/cc2c9c0c-a404-478e-b401-25be446e30f4 ## About the Role Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 8+ years of experience leading the implementation of enterprise-grade AI and agentic AI solutions across cloud and hybrid environments. * Design scalable AI platforms leveraging Azure and AWS services, including secure model deployment, orchestration, monitoring, and governance. * Build and operationalize LLM-powered applications using frameworks such as LangChain and LangGraph. * Define agentic architectures including multi-agent orchestration, tool calling, memory management, MCP integration patterns, and human-in-the-loop controls. * Establish best practices for AI industrialization, including CI/CD, model lifecycle management, observability, prompt/version management, evaluation frameworks, and guardrails. * Integrate AI systems with enterprise applications, APIs, vector databases, workflow platforms, and operational systems. * Collaborate with business, data, security, and engineering teams to translate business requirements into scalable AI architectures. * Provide technical leadership across architecture reviews, platform strategy, vendor selection, and AI governance initiatives. Preferred technical and professional experience Preferred Skills Familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel) and RAG architectures Experience with Azure data services including Azure Synapse, Azure Data Factory, or Microsoft Fabric Knowledge of AI governance, responsible AI practices, and enterprise security considerations Azure certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate), Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer?, IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. ## Description We are seeking an AI Architect to join our growing AI practice on a high-visibility enterprise engagement. This is a senior, client-facing role where you will provide thought leadership and define the technical direction across a complex, multi-workstream AI program. The client expects a seasoned professional who can hit the ground running - shaping strategy, establishing architecture standards, and driving alignment between business objectives and AI capabilities. You will be the go-to technical authority for end-to-end Azure AI architecture, ensuring that every solution is scalable, secure, governed, and aligned to real business value. What You'll Do Thought Leadership & Technical Direction Serve as the senior technical voice on the engagement, setting the architectural vision and ensuring consistency across workstreams Define and govern end-to-end Azure AI architecture spanning Azure OpenAI, Azure Machine Learning, and enterprise data platforms Develop reference architectures, patterns, and reusable assets that accelerate delivery and elevate the practice Mentor and upskill team members on Azure AI best practices, design patterns, and emerging capabilities Client Engagement & Solution Architecture Lead architecture design sessions and workshops with client stakeholders to align on strategy and technical approach Translate complex business requirements into scalable, secure, and maintainable AI-powered solutions Map AI use cases to measurable business value, ensuring enterprise standards and governance are embedded from the start Present architectural recommendations with clarity and confidence to both technical and executive audiences Technical Delivery Architect and oversee implementation of AI solutions across Azure OpenAI, Azure ML, and supporting data infrastructure Establish design standards for model deployment, prompt engineering, data integration, and AI observability Establish a scalable operating model for AI industrialization by standardizing deployment, monitoring, governance, and support processes across existing AI solutions to improve reliability, reuse, and speed to value Leverage Model Context Protocols (MCPs) to enable secure, modular integration between agents, enterprise systems, and data sources, creating a more interoperable and extensible agentic AI ecosystem Implement orchestration and guardrail frameworks for agentic workflows to ensure AI agents can collaborate effectively, access the right contextual information, and operate with appropriate oversight, auditability, and human-in-the-loop controls Ensure all solutions adhere to enterprise security, compliance, and reliability requirements Collaborate closely with data, engineering, and business teams to ensure successful end-to-end delivery ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Architectures that we can use with .NET](https://www.wearedevelopers.com/videos/935-architectures-that-we-can-use-with-net) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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