Application Architect-AI Integration

A career at Anderon provides the rare opportunity to help define a new industry. We’re a wafer foundry that’s commercializing semiconductor manufacturing for quantum chips. You’ll partner with innovative clients and leading researchers to develop the technology needed to build the coming quantum economy. *Please note: Anderon uses IBM's recruitment platform for candidate applications and hiring workflows. While this role is with Anderon, all applications will be submitted and processed through IBM's careers system. As an Application Architect for AI Integration, this role is responsible for designing and governing end-to-end architectures that embed AI capabilities into enterprise applications and workflows. This involves collaboration with stakeholders to translate business objectives into scalable and compliant designs, ensuring seamless integration with existing systems and meeting performance, security, and cost objectives. Your primary responsibilities will include:

• Designing Architectures: defining reference patterns for AI integration, including Retrieval-Augmented Generation and hybrid reasoning, to ensure scalable and resilient designs.
• Collaborating with Stakeholders: translating business objectives into policy-compliant designs, balancing vendor-managed services with custom development to meet performance and cost objectives.
• Ensuring Governance: driving governance for prompts, guardrails, and lifecycle management to ensure observability, privacy, and responsible AI principles are embedded from design through operations.
• AI Architecture Design: Exposure to designing end-to-end architectures that embed AI capabilities into enterprise applications and workflows, ensuring seamless integration with existing systems, APIs, and data platforms.
• Technical Integration: Experience working with AI services, models, and orchestration layers to meet performance, security, compliance, and cost objectives.
• Reference Pattern Development: Exposure to defining reference patterns for Retrieval-Augmented Generation, tool/function calling, event-driven and microservices architectures, and hybrid reasoning.
• Stakeholder Collaboration: Experience collaborating with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs.
• Governance Implementation: Exposure to driving governance for prompts, guardrails, and lifecycle management to ensure observability, privacy, and responsible AI principles are embedded from design through operations.
• AI Service Knowledge: Exposure to various AI services and models to integrate with existing systems and meet performance objectives.
• Architecture Patterns: Experience working with event-driven and microservices architectures to ensure scalable designs.
• Hybrid Reasoning: Exposure to defining reference patterns for hybrid reasoning and tool/function calling to meet business objectives. Korea, Republic of Infrastructure & Technology Hybrid Professional Seoul, KR (0079) IBM Korea, Inc.