Join Deloitte's Technology & Transformation practice as an AI Engineer, focusing on designing and implementing cutting-edge AI-driven systems. This role is pivotal in building agentic workflows, orchestrating Large Language Models (LLMs), and developing scalable enterprise automation solutions. You will be at the forefront of leveraging data to generate actionable insights and drive an insight-driven advantage for clients.

Our team specializes in business intelligence, data management, performance management, and advanced analytics, including big data, cloud, cognitive computing, and machine learning. We empower companies to transform their data into valuable information for informed decision-making.

Design and develop sophisticated agentic AI systems utilizing frameworks such as LangChain and Lang Graph. You will be instrumental in building and optimizing LLM-driven applications to tackle complex challenges, including detailed document analysis for RFP evaluation and providing automated decision support.

Furthermore, you will develop comprehensive end-to-end pipelines for efficient information extraction, structured evaluation, and automated scoring. A key aspect of this role involves implementing NLP-based semantic analysis to deliver contextual insights and automated feedback mechanisms.

A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required. Essential technical proficiencies include experience with LangChain, Lang Graph, and Large Language Models (LLMs). Familiarity with NLP for semantic analysis and experience in developing data pipelines for information extraction and automated scoring are crucial.

Beyond technical skills, strong analytical thinking is necessary to dissect complex risks and offer practical solutions. Excellent professional writing and communication abilities are vital for proposal development and presenting findings. A proactive problem-solving approach to identify and address vulnerabilities is also highly valued.