Technical Consultant-AI Integration

IBM; Kolkata District; On-site; INR 600,000 - 900,000; Full time

Job summary

IBM Consulting in India seeks a Technical Consultant specializing in AI Integration to implement, configure, and customize AI-driven solutions that fit into enterprise applications and workflows.

You will translate architectural blueprints into secure, scalable deployments, integrating AI services, APIs, and orchestration layers while collaborating with architects, data engineers, and business stakeholders.

Qualifications

• Hands-on experience integrating AI services and APIs into enterprise applications and workflows.
• Familiarity with workflow automation and event-driven patterns, including building RAG pipelines and orchestration layers.
• Exposure to LLMOps practices, including observability, performance tuning, and cost optimisation for reliable AI solutions.
• Experience deploying AI services, APIs, and orchestration layers in compliance with regulatory standards, ensuring secure deployment.
• Experience translating AI solution designs into production-ready systems that integrate with enterprise workflows.

Responsibilities

• Implement AI solutions: develop connectors, build RAG pipelines, and configure prompts and guardrails.
• Collaborate with architects, data engineers, and stakeholders to validate requirements and harden solutions for production.
• Optimize performance with observability, tuning, and cost management for reliable AI systems.
• Ensure compliance and secure deployment of AI services and orchestration layers.
• Translate designs into working systems with a focus on reliability, scalability, and governance.

Skills

API integration

Workflow automation

LLMOps

Secure deployment

AI solution development

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.

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 a Technical Consultant specialising in AI Integration, you will implement, configure, and customise AI‑driven solutions that integrate seamlessly into enterprise applications and workflows. This role requires translating solution designs and architectural blueprints into working systems, ensuring secure, efficient, and compliant deployment of AI services, APIs, and orchestration layers.

Your Primary Responsibilities Will Include

• Implement AI Solutions: Develop connectors, build Retrieval‑Augmented Generation (RAG) pipelines, and configure prompts and guardrails to integrate AI services into enterprise applications and workflows.
• Collaborate with Stakeholders: Work closely with architects, data engineers, and business stakeholders to validate requirements, deliver proofs of concept, and harden solutions for production.
• Optimize Performance: Implement observability, performance tuning, and cost optimisation measures to ensure reliable and scalable AI solutions.
• Ensure Compliance: Deploy AI services, APIs, and orchestration layers in compliance with organisational and regulatory standards.
• Deliver Solutions: Translate solution designs and architectural blueprints into working systems, focusing on reliability, scalability, and responsible AI principles throughout the delivery lifecycle.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Exposure to API Integration: Hands‑on experience with integrating AI services and APIs into enterprise applications and workflows, including developing connectors and configuring prompts and guardrails.
• Experience with Workflow Automation: Familiarity with workflow automation and event‑driven patterns, including building Retrieval‑Augmented Generation (RAG) pipelines and implementing orchestration layers.
• LLMOps Practices: Exposure to LLMOps practices, including implementing observability, performance tuning, and cost optimisation measures to ensure reliable and scalable AI solutions.
• Secure Deployment: Experience with deploying AI services, APIs, and orchestration layers in compliance with organisational and regulatory standards, ensuring secure and efficient deployment.
• AI Solution Development: Experience working with AI solution designs and architectural blueprints, translating them into working systems that integrate seamlessly into enterprise applications and workflows.

Preferred Technical And Professional Experience

• Workflow Automation Expertise: Familiarity with workflow automation and event‑driven patterns, including building Retrieval‑Augmented Generation (RAG) pipelines and implementing orchestration layers, is beneficial for this role.
• LLMOps Practices Knowledge: Exposure to LLMOps practices, including implementing observability, performance tuning, and cost optimisation measures, is advantageous for ensuring reliable and scalable AI solutions.
• Secure Deployment Experience: Experience with deploying AI services, APIs, and orchestration layers in compliance with organisational and regulatory standards is desirable, ensuring secure and efficient deployment.