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. 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. The Application Architect collaborates with stakeholders to translate business objectives into scalable designs, balancing vendor-managed services with custom development, and drives governance for AI integration. Your primary responsibilities will include: • Designing Architectures: defining reference patterns for AI services, models, and orchestration layers to integrate seamlessly with existing systems, APIs, and data platforms. • Collaborating with Stakeholders: translating business objectives into scalable, resilient, and policy-compliant designs, ensuring performance, security, compliance, and cost objectives are met. • Governing AI Integration: driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations. • Deep AI Expertise: Experience with designing and governing end-to-end architectures that embed AI capabilities into enterprise applications and workflows, ensuring seamless integration with existing systems, APIs, and data platforms. • Architecture Design: Experience defining reference patterns for AI services, models, and orchestration layers, including Retrieval-Augmented Generation (RAG), event-driven and microservices architectures, and hybrid reasoning. • AI Governance: Experience driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations. • Technical Leadership: Experience collaborating with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs, balancing vendor-managed services with custom development. • Integration Expertise: Experience integrating AI services, models, and orchestration layers with existing systems, APIs, and data platforms, meeting performance, security, compliance, and cost objectives. • Advanced AI Knowledge: Deep expertise in AI services, models, and orchestration layers, including Retrieval-Augmented Generation (RAG) and hybrid reasoning. • Technical Architecture: Experience with event-driven and microservices architectures, ensuring seamless integration with existing systems, APIs, and data platforms. • AI Governance Tools: Familiarity with tools for driving governance, prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles. India Software Engineering Hybrid Professional Bangalore, IN Bangalore (0063) IBM India Private Limited Architecture Artificial Intelligence Design Integration Security Technical Architecture Technical Leadership Microservices Development Enterprise Applications Observability Compliance Governance Musical Orchestration Lifecycle Management Business Goal Setting