AI Engineer II, BRS

Job Description

Job Summary: The ideal candidate will be responsible for designing and developing Retrieval-Augmented Generation (RAG) applications using internal data sources. This role involves integrating Large Language Models (LLMs) such as OpenAI and Azure OpenAI with enterprise search, vector databases, and knowledge graphs. The AI Engineer will analyze both structured and unstructured data for downstream machine learning and generative applications, build custom AI agents, and fine-tune models for business-specific tasks. Experience with Azure AI Foundry, C3AI, Snowflake, or similar orchestration platforms is essential.

Key Responsibilities:

• Design and develop Retrieval-Augmented Generation (RAG) applications using internal data sources.
• Integrate Large Language Models (LLMs) (e.g., OpenAI, Azure OpenAI) with enterprise search, vector databases, and knowledge graphs.
• Analyze structured and unstructured data for downstream machine learning and generative applications.
• Build custom AI agents and fine-tuned models tailored to business-specific tasks.
• Utilize platforms such as Azure AI Foundry, C3AI, Snowflake, or similar orchestration tools to enhance AI capabilities.

Qualifications:

• Proven experience in designing and developing AI applications, particularly Retrieval-Augmented Generation (RAG) applications.
• Strong knowledge of integrating LLMs with enterprise search, vector databases, and knowledge graphs.
• Proficiency in analyzing structured and unstructured data for machine learning and generative applications.
• Experience in building custom AI agents and fine-tuning models for specific business needs.
• Familiarity with Azure AI Foundry, C3AI, Snowflake, or similar orchestration platforms.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with additional AI and machine learning frameworks and tools.
• Knowledge of data engineering and data science best practices.
• Ability to stay updated with the latest advancements in AI and machine learning technologies.

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.