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Application Architect-AI Integration

IBM · Bengaluru, Karnataka, India

12–20 yrs experiencefull_timePosted 4w ago
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Job description

**Your Role and Responsibilities:** - 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 **Required Education:** Bachelor's Degree **Preferred education** Master's Degree **Required Technical and Professional Expertise:** - 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 **Preferred Technical and Professional Experience:** None ****Years of Experience:**** 8 - 10