Senior AI Engineer/Data Scientist

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role And Responsibilities

We are seeking a highly skilled and experienced Senior Generative AI (GenAI) Developer to join our team. The ideal candidate will have a proven track record of designing, developing, and deploying advanced Generative AI solutions, with expertise in Retrieval-Augmented Generation (RAG) systems, Agentic AI (LangChain, AutoGen, Semantic Kernel), and a solid understanding of Large Language Models (LLMs).

This role requires exceptional Python programming skills and a deep understanding of Generative AI technologies. The candidate will play a key role in driving innovation and implementing AI solutions that align with business objectives, while ensuring scalability, security, and performance.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Proven experience in Retrieval-Augmented Generation (RAG) system development.
Proven experience with Agentic AI frameworks, such as AutoGen.
Strong proficiency in Python programming (minimum 4 years), with expertise in libraries like Pandas, Numpy, Scikit-learn and TensorFlow (or similar frameworks).
Solid understanding of Large Language Models (LLMs) and their applications in Generative AI; demonstrated expertise in Natural Language Processing (NLP) and related technologies.
Hands-on experience deploying AI solutions on cloud infrastructure, with knowledge of container-based architectures, cloud technologies, and Linux systems.
Experience with GenAI cloud services such as AWS SageMaker, Azure AI or Google Cloud AI.

Required Soft Skills

Strong customer orientation, with the ability to understand and address client needs effectively and strong problem-solving skills and the ability to make decisions in a fast-paced environment.
Excellent analytical, drafting and presentation skills, with the ability to communicate complex technical topics clearly to diverse audiences and a collaborative mindset with a commitment to continuous learning and innovation.

Preferred Technical And Professional Experience

Experience in analytics and machine learning product management.
Familiarity with financial and economic datasets and analytics in these contexts.
Knowledge of software architecture patterns for AI and machine learning systems.
Hands-on experience with CI/CD toolchains for machine learning workflows.
Experience in developing automation solutions for model training, deployment, and monitoring.
Hands-on knowledge of managing and securing APIs.

Senior AI Engineer/Data Scientist

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