Technical Consultant-AI integration

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 specializing in AI Integration, you will implement, configure, and customize 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 optimization measures to ensure reliable and scalable AI solutions.
• Ensure Compliance: Deploy AI services, APIs, and orchestration layers in compliance with organizational 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

Must-Have (Core AI Skills)- Python, Azure OpenAI, Azure AI Foundry, Azure AI Search, RAG, Prompt Engineering, Agentic AI, Copilot Studio

Must-Have (Cloud & DevOps)- GitHub Actions, CI/CD, Azure DevOps, Docker, AKS/App Services/Functions

Must-Have (Data & AI Platforms)- Databricks, Vector Databases, ADF/Synapse, Embeddings

Preferred Technical And Professional Experience

Good-to-Have C#, Node.js, Azure ML, Cognitive Services, GraphQL, Cosmos DB, PostgreSQL

Leadership & Governance Responsible AI, Code Reviews, Technical Audits, AI Governance, Production Ownership