Senior AI Architect - Azure & Cloud AI

A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and RedHat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences. Responsibilities 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 Qualifications Education Required: Bachelor's Degree Preferred: Master's Degree Required technical and professional expertise 8+ years of experience leading 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 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. Benefits Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & wellbeing. Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long‑term disability coverage, and opportunities for performance‑based salary incentive programs. Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law. Training and educational resources on our personalized, AI‑driven learning platform where IBMers can grow skills and obtain industry‑recognized certifications to achieve their career goals. Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences. Equal‑Opportunity Employer Statement IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Job Details Job Title: Senior AI Architect Location: Dallas, Chicago, New York (United States) Work Arrangement: Hybrid – up to 60% or 3 days a week (home on weekends – based on project requirements) Projected Minimum Salary per year: 144,000.00 Projected Maximum Salary per year: 268,000.00 Company: International Business Machines Corporation Employment Type: Regular (Professional) Posted on: 29‑May‑2026 Job ID: 116574 #J-18808-Ljbffr IBM