AI Engineer

Lazard Careers , NY
8d$110,000 - $140,000

About The Position

Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference . While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight. The Lazard Data Analytics Group, composed of data scientists, AI engineers, and software engineers, drives innovation by developing advanced AI and data science solutions that enhance decision-making across our financial advisory and asset management business lines. This team ensures Lazard stays at the forefront of a data-driven world, delivering insights that support client engagements and strengthen key partnerships, while keeping the firm competitive and efficient in an evolving financial landscape. The AI Engineer at Lazard will work within the AI & Data Group to design, develop, and deploy advanced AI-driven applications and solutions to support the Firm’s financial advisory and asset management businesses. The primary responsibility is to build large-scale AI and machine learning projects that deliver actionable insights and drive innovation. The AI Engineer will collaborate closely with investment bankers, asset managers, data scientists, software engineers, and senior management across the Firm to deliver impactful solutions. Successful candidates will possess advanced technical and domain expertise, along with the ability to effectively communicate complex concepts to non-technical stakeholders.

Requirements

  • Bachelor’s or advanced degree in Computer Science, AI, Data Science, Machine Learning, or related fields.
  • 1-3 years of experience developing large scale GenAI applications
  • Expertise in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Deep knowledge of machine learning algorithms and experience in productionizing AI models.
  • Proficiency with frameworks for large language models (LLMs) such as LangChain, LlamaIndex, and VectorDBs.
  • Experience developing and deploying AI solutions using cloud platforms like Azure, AWS, or GCP.
  • Advanced knowledge of unstructured data processing, including NLP (e.g., sentiment analysis, entity recognition, topic modeling, and retrieval-augmented generation).
  • Proficiency in APIs and microservices frameworks like FastAPI or Flask.
  • Demonstrated ability to query and analyze data from relational and NoSQL databases (e.g., PostgreSQL, MongoDB, ElasticSearch).
  • Strong communication skills with the ability to translate technical findings into actionable business strategies for bankers, asset managers, and other stakeholders.
  • Passion for building innovative, high-quality AI-driven products.
  • Ability to work both independently and collaboratively.

Nice To Haves

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

Responsibilities

  • Design, develop, and deploy advanced AI-driven applications and solutions to support 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 closely with investment bankers, asset managers, data scientists, software engineers, and senior management across the Firm to deliver impactful solutions.
  • Effectively communicate complex concepts to non-technical stakeholders.

Benefits

  • We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits.
  • Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community.
  • When you work for Lazard, you are working for an organization that cares about your unique talents and passions and will continue to invest in the development of your career.
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