AI Engineer
Lazard is one of the world’s preeminent financial advisory and asset management firms. The AI Engineer 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.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Comprehensive, competitive benefits
Company Overview
Company H1B Sponsorship