Artificial Intelligence Engineer

Capgemini Engineering; Al Khobar; On-site; SAR 318,000 - 432,000; Full time

Job summary

A leading global engineering firm is seeking a Senior AI Engineer in Al Khobar, Saudi Arabia. This role requires expertise in Natural Language Processing, Generative AI, and Computer Vision, with 5+ years of relevant experience. You'll design and deploy innovative AI solutions, collaborating with cross-functional teams. The company offers supportive work arrangements and opportunities for career growth and valuable certifications.

Benefits

Flexible work arrangements

Career growth programs

Certifications in latest technologies

Qualifications

• 5+ years of industry experience in AI/ML.
• Strong proficiency in Python and experience with APIs.
• Hands-on experience with MLOps tools.

Responsibilities

• Design, train, and fine-tune advanced AI models.
• Develop Generative AI applications.
• Leverage Agentic AI for intelligent systems.

Skills

Natural Language Processing (NLP)

Generative AI

Agentic AI

Computer Vision

Python

MLOps

Deep Learning

Education

Bachelor's, Master's, or Ph.D. in Computer Science, AI, or related

Tools

Docker

Kubernetes

FastAPI

Flask

MLflow

PyTorch

TensorFlow

Apache Spark

Job description

Get the future you Want!

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where can you make a difference. Where no two days are the same.

Your Role

We are looking for a highly skilled and experienced Senior AI Engineer to join our innovative team. The ideal candidate will have a proven track record in Natural Language Processing (NLP), Generative AI, Agentic AI, Computer Vision, and expertise in Large Language Models (LLMs) and Vision-Language Models (VLMs). Additionally, you should have hands-on experience with Edge AI, AI for IoT platforms, MLOps, and deploying AI solutions at scale.

In this role, you will design, develop, and deploy cutting-edge AI solutions that address complex, real-world challenges across various domains. You will collaborate with cross-functional teams to drive innovation, optimize performance, and ensure seamless integration of AI systems into production environments.

Key Responsibilities

• Design, train, and fine-tune advanced AI models, including LLMs, VLMs, and multi-modal architectures for NLP, Computer Vision, and Generative AI.
• Develop Generative AI applications using state-of-the-art models for creative content generation, knowledge synthesis, and autonomous task management.
• Leverage Agentic AI to create intelligent systems capable of reasoning, planning, and executing tasks in dynamic environments.
• Combine computer vision systems with NLP to build vision-language understanding models for real-world applications.
• Automate workflows for data preparation, model training, testing, and deployment using tools like Docker, Kubernetes, and CI/CD pipelines.

Your Profile

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of industry experience in AI/ML, with expertise in NLP, Generative AI, Computer Vision, and multi-modal AI systems.
• Strong proficiency in Python and experience building robust APIs using frameworks like FastAPI or Flask.
• Expertise in Large Language Models (LLMs) (e.g., GPT, BERT, T5) and Vision-Language Models (VLMs) (e.g., CLIP, BLIP).
• Hands-on experience with MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).
• Proficiency with Deep Learning Frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Strong experience in deploying AI models on cloud platforms (AWS, GCP, Azure) and edge devices.
• Expertise in Edge AI frameworks like TensorFlow Lite, ONNX Runtime, or NVIDIA Jetson.
• Experience in IoT platforms and real-time AI applications leveraging sensor data.
• Familiarity with distributed computing tools like Apache Spark, Ray, or Dask.

Preferred Skills

• Experience with reinforcement learning, agent-based AI systems, and autonomous decision-making frameworks.
• Strong knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with big data technologies and real-time data processing pipelines.
• Demonstrated ability to implement and manage CI/CD pipelines for AI/ML workflows.
• Excellent problem-solving and debugging skills, with a focus on scalable, efficient solutions.
• Strong communication and collaboration skills, with experience working in cross-functional teams.

What You’ll Love About Working Here

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported