Application Architect-AI Integration

International Business Machines Corporation; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

International Business Machines Corporation in Bengaluru is seeking an Application Architect for AI Integration to lead end-to-end architectures that embed AI into enterprise applications and workflows. You will balance vendor-managed services with custom development while ensuring governance, security, and cost objectives are met.

The role requires strong leadership, collaboration with stakeholders, and deep expertise in AI services, model orchestration, and integration patterns to deliver

Qualifications

• Deep AI expertise embedding AI into enterprise apps.
• Architecture design for AI services, models, orchestration.
• Governance for prompts, guardrails, lifecycle management.
• Collaborate with stakeholders to translate business objectives.

Responsibilities

• Design architectures for AI services and data platforms.
• Collaborate with stakeholders to translate business objectives.
• Govern AI integration with observability, privacy, responsible AI.

Skills

Deep AI Expertise

Architecture Design

AI Governance

Technical Leadership

Integration Expertise

Stakeholder Collaboration

Education

Master's Degree

Job description

Introduction

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.

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.

Preferred Education

Master's Degree

Required Technical And Professional 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.