Technical Consultant-AI Integration

Introduction

IBM Consulting careers are grounded in enduring client partnerships and teamwork across the globe. You’ll work with top organizations in multiple industries, supporting them as they develop their hybrid cloud and AI capabilities. Backed by strategic partners, IBM technology, and Red Hat, you’ll gain the resources needed to drive impactful outcomes and accelerate client value. At IBM Consulting, curiosity is central to success—you’ll be encouraged to question conventional approaches, test new ideas, and build solutions that produce measurable results. Our growth- and empathy-focused culture supports your long-term career development, while recognizing and valuing the distinctive skills and experiences you bring.

Your Role And Responsibilities

As a Technical Consultant specializing in AI Integration, you will implement, configure, and tailor AI-powered solutions that fit smoothly into enterprise applications and business workflows. In this position, you will convert solution designs and architectural blueprints into functional systems, supporting secure, efficient, and compliant deployment of AI services, APIs, and orchestration layers.

Your Primary Responsibilities Will Include

• Implement AI Solutions: Create connectors, design Retrieval-Augmented Generation (RAG) pipelines, and configure prompts and guardrails to embed AI services into enterprise applications and workflows.
• Collaborate with Stakeholders: Partner with architects, data engineers, and business stakeholders to confirm requirements, develop proofs of concept, and mature solutions for production readiness.
• Optimize Performance: Apply observability, performance tuning, and cost optimization approaches to maintain dependable and scalable AI solutions.
• Ensure Compliance: Deploy AI services, APIs, and orchestration layers according to organizational policies and regulatory standards.
• Deliver Solutions: Convert solution designs and architectural blueprints into working systems, emphasizing reliability, scalability, and responsible AI practices across the full delivery lifecycle.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Exposure to API Integration: Practical experience integrating AI services and APIs into enterprise applications and workflows, including creating connectors and configuring prompts and guardrails.
• Experience with Workflow Automation: Knowledge of 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 optimization measures to support dependable and scalable AI solutions.
• Secure Deployment: Experience deploying AI services, APIs, and orchestration layers in accordance with organizational 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 optimization measures, is advantageous for ensuring reliable and scalable AI solutions.
• Secure Deployment Experience: Experience deploying AI services, APIs, and orchestration layers in compliance with organizational and regulatory standards is desirable, ensuring secure and efficient deployment.