2027 AI Engineer Summer Internship

Lazard • New York, NY

2d • Onsite

About The Position

The Lazard AI and Data Group brings together data scientists, data engineers, AI engineers, and software engineers to develop advanced AI and data-driven solutions that enhance decision-making across Lazard’s Financial Advisory and Asset Management businesses. The team delivers practical insights and technology that support client engagements, strengthen strategic partnerships, and help the firm remain competitive and efficient in a rapidly evolving financial landscape. Operating as Lazard’s internal innovation engine, the group identifies opportunities to improve business processes through technology and develops solutions from end to end—from concept development and design through deployment, performance analysis, and continuous iteration. The AI Engineer Summer Intern will work within the AI & Data Team. The primary responsibility is to design, prototype, test, and deploy AI-driven applications and data products that leverage machine learning, natural language processing, and generative AI. Team members at every level have meaningful agency throughout the product-development cycle, with direct interaction and rapid feedback loops from senior investment bankers in Financial Advisory and portfolio managers in Asset Management. We’re all-in on the cloud and are a leader in the adoption of new technologies. Successful candidates should have a strong programming, machine learning, and problem-solving background.

Requirements

• Ability to start internship June 7, 2027 and end August 13, 2027
• Ability to be in NYC for the duration of the internship
• A Bachelor or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong programming skills in Python. Experience with object-oriented or functional programming.
• Familiar with large language model (LLM) frameworks.
• Interested in (and ideally some exposure to) agentic workflows, autonomous AI systems, and MCP (Model Context Protocol) agent development.
• Knowledge of unstructured data processing and NLP techniques (e.g., entity recognition, text classification, sentiment analysis, RAG).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with APIs and microservices frameworks.
• Experience with relational and NoSQL databases.
• Comfortable working with Git, CI/CD tools, and modern development workflows.
• Exposure to containerization and orchestration tools.
• A passion for building innovative, high-quality AI applications.
• The ability to work both independently and collaboratively as a team player.
• Interested in the finance industry, especially the investment banking or asset management divisions.

Responsibilities

• Design, prototype, test, and deploy AI-driven applications and data products that leverage machine learning, natural language processing, and generative AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern