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Lazard

Advises on corporate deals and manages investments

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A Bachelor's or advanced degree in Computer Science, AI, Data Science, Machine Learning, or a related field.
  • 1–3 years of experience developing large-scale generative AI applications.
  • Expertise in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Deep knowledge of machine learning algorithms and experience productionizing AI models.
  • Proficiency with large language model frameworks such as LangChain, LlamaIndex, and vector databases.
  • Experience developing and deploying AI solutions using cloud platforms such as Azure, AWS, or GCP.
  • Advanced knowledge of unstructured data processing, including natural language processing tasks such as sentiment analysis, entity recognition, topic modeling, and retrieval-augmented generation.
  • Proficiency in APIs and microservices frameworks such as FastAPI or Flask.
  • Ability to query and analyze data from relational and NoSQL databases such as PostgreSQL, MongoDB, and Elasticsearch.
  • Ability to translate technical findings into actionable business strategies for bankers, asset managers, and other stakeholders.
  • Ability to work independently and collaboratively.

Responsibilities

  • Design, develop, and deploy advanced AI-driven applications and solutions supporting the firm's financial advisory and asset management businesses.
  • Build large-scale AI and machine learning projects that deliver actionable insights and drive innovation.
  • Collaborate with investment bankers, asset managers, data scientists, software engineers, and senior management across the firm to deliver solutions.

Desired Qualifications

  • Prior experience in the financial industry or a strong interest in finance.
  • Familiarity with Databricks, Azure AI, and the Microsoft Copilot ecosystem.
  • Expertise in building advanced retrieval-augmented generation systems and developing autonomous large language model agent workflows.
  • Familiarity with MLOps workflows and tools such as MLflow, Kubeflow, or Vertex AI.
  • Experience with real-time AI applications and stream processing frameworks.
  • Demonstrated success delivering AI solutions with measurable business impact.
  • Strong knowledge of advanced generative AI and experience communicating insights to non-technical audiences.

About the Company

Lazard

Advises on corporate deals and manages investments

Lazard advises companies and governments on major financial decisions and manages investment portfolios for institutions, families, and wealthy individuals. Its financial advisory teams work on mergers, capital raising, and debt restructurings, combining industry knowledge with local teams that coordinate across markets. The asset management business researches investments and runs portfolios across stocks, bonds, and alternative assets, while specialized advisers analyze geopolitical risks for corporate leaders. Lazard earns fees for advisory assignments and investment management, with investment fees generally tied to client assets. The firm traces its roots to 1848 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York, NY
Founded
1848

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