AI Engineer

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, let's talk. Your Role And Responsibilities We are seeking an AI Engineer to join our growing App Innovation practice. This role will report to our Regional Director of Application Innovation. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on generative AI, agentic AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have a strong foundation in AI/ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment. Key Responsibilities AI Solution Development & Deployment: Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel. Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications. Project Delivery & Client Engagement: Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives. Work in both project-based and staff augmentation roles, adapting to various client environments and requirements. Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions. Model Validation & Quality Assurance: Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance. Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness. Stay current with industry trends and best practices in AI technology, incorporating them into solution development. Collaborate with sales and delivery teams to design AI solutions that meet client needs. Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions. Conduct technical presentations and demonstrations to clients and stakeholders. This role can be performed from anywhere in the US. Required Technical And Professional Expertise Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) 10+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs. Experience in a consulting environment, engaging with clients and delivering tailored solutions. Technical Skills: Proficiency in programming languages such as Python or C#. Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex. Model selection, validation, and workload optimization. Knowledge of data processing and pipeline development using Azure Data Factory or similar tools. Understanding of MLOps practices and tools for model lifecycle management. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a dynamic, fast-paced environment. Ability to travel up to 25% Preferred Technical And Professional Experience Microsoft Certified: Azure AI Engineer Associate or similar certifications. Experience with containerization and deployment tools such as Docker and Kubernetes. Familiarity with responsible AI principles and practices. #J-18808-Ljbffr