Application Architect-AI Integration

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 Red Hat, 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.

• Define enterprise-wide AI architecture across Traditional, GenAI, and Agentic systems.
• Select AI frameworks, platforms, and modeling approaches aligned with business goals.
• Design for non-functional requirements: scalability, performance, security, explainability, ethics.
• Design agent orchestration frameworks (autonomy, communication protocols, role-based agents).
• Establish & Govern model lifecycle: registration, monitoring, versioning, auditability.
• Ensure compliance with AI policies and regulations (e.g., GDPR, EU AI Act).
• Drive integration of AI with enterprise systems (ERP, CRM, MES, etc.).
• Drive integration with External Agents
• Provide architectural oversight for cross-functional AI delivery teams.
• Translate complex technical concepts into business value for stakeholders and effectively lead technical teams

• The Application Architect – AI Integration is responsible for designing and governing end-to-end architectures that embed AI capabilities into enterprise applications and workflows.
• This role ensures that AI services, models, and orchestration layers integrate seamlessly with existing systems, APIs, and data platforms while meeting performance, security, compliance, and cost objectives.
• The architect defines reference patterns for Retrieval-Augmented Generation (RAG), tool/function calling, event-driven and microservices architectures, and hybrid reasoning (symbolic + generative).
• They collaborate with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs, balancing vendor-managed services with custom development.
• The role also drives governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations

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