Lazard is one of the world’s preeminent financial advisory and asset management firms, known for its collaborative culture and focus on innovation. The AI Engineer will design, develop, and deploy advanced AI-driven applications to enhance decision-making within the firm's financial advisory and asset management businesses, collaborating closely with various stakeholders to deliver impactful solutions.
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
Qualification
Required
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
Preferred
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
Benefit
Comprehensive, competitive benefits
Incentive compensation
Lazard is a financial advisory and asset management firm focused on income strategies, alternative investments, and private equity funds.
