Your Role and Responsibilities:

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.

Required Education:

Bachelor's Degree

Preferred Education:

Master's Degree

Required Technical and Qualified Expertise:

- 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.

Preferred Technical and Professional Experience:

- 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.

Years of Experience:22 - 25

📌 Application Architect-AI Integration (Bengaluru)
🏢 IBM India Pvt.
📍 Bengaluru