AI Engineer

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

Join us and be part of a growing international team delivering AI solutions for enterprise clients. You will work on real-world use cases involving Large Language Models (LLMs), modern machine learning frameworks, and scalable deployment architectures.

This role focuses on building and operationalizing AI solutions in production environments, combining strong engineering practices with applied AI expertise. You will contribute to end-to-end solution delivery, from design to deployment, in a collaborative and fast-evolving environment.

Your Responsibilities Will Include

• Designing and developing AI/ML solutions using modern frameworks (PyTorch, TensorFlow, etc.)
• Integrating Large Language Models (LLMs) into applications and workflows
• Deploying and operationalizing AI services in production environments
• Managing model lifecycle (training, deployment, monitoring)
• Optimizing and scaling AI models for performance and reliability
• Collaborating with data scientists, engineers, and stakeholders
• Contributing to solution design and technical discussions
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Ideally 4+ years of experience in AI/ML engineering or related roles
• Strong programming skills in Python
• Experience with machine learning frameworks (PyTorch, TensorFlow, Scikit-learn)
• Hands-on experience with Large Language Models (LLMs) and their integration
• Experience working with production environments and model deployment
• Understanding of AI lifecycle and model management
• Experience with NLP techniques
• Comfortable working in Agile environments and collaborating with stakeholders
• Comfortable using English in a professional environment
  
  

Preferred Technical And Professional Experience

• Experience with Docker and Kubernetes
• Exposure to AIOps or model lifecycle automation
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with Explainable AI
• Experience working in client-facing environments