Application Architect-AI Integration

IBM Computing; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

IBM Consulting in India seeks an Application Architect for AI Integration to design end-to-end architectures that embed AI into enterprise applications and workflows. You will balance vendor-managed services with custom development while ensuring governance and security.

Collaborate with stakeholders to translate business objectives into scalable patterns, define reference AI services, and drive observability, privacy, and cost objectives across the architecture lifecycle.

Qualifications

• Experience designing end-to-end AI-enabled architectures for enterprise applications.
• Ability to translate business objectives into scalable designs with governance.
• Proficient in AI services, models, and orchestration layers.
• Experience with APIs, data platforms, and security/compliance.
• Strong collaboration with stakeholders to balance vendor and in-house work.

Responsibilities

• Define reference patterns for AI services, models, and orchestration layers.
• Govern AI integration with governance for prompts, guardrails, and lifecycle.
• Ensure observability, privacy, and cost objectives are met.
• Collaborate with stakeholders to align designs with business goals.

Skills

AI architecture design

Governance

Reference pattern development

Stakeholder collaboration

AI service integration

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.

Required technical and professional expertise

• AI Architecture Design: Experience with 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 Governance: Experience with driving governance for prompts, guardrails, and lifecycle management, ensuring observability, privacy, and responsible AI principles are embedded from design through operations.
• Reference Pattern Development: Experience with defining reference patterns for AI services, models, and orchestration layers, including Retrieval-Augmented Generation (RAG) and hybrid reasoning.
• Stakeholder Collaboration: Experience with collaborating with stakeholders to translate business objectives into scalable, resilient, and policy-compliant designs, balancing vendor-managed services with custom development.
• AI Service Integration: Experience with 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 Concepts: Experience with emerging AI technologies and trends, such as explainable AI and edge AI, can be beneficial.
• Cloud Native Services: Knowledge of cloud-native services and serverless architectures can be advantageous in designing scalable AI integrations.
• Data Platform Integration: Familiarity with integrating AI services with various data platforms and APIs can be useful.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.