AI Engineer - Back End

Lazard is one of the world's leading financial advisory and asset management firms. Our people make the difference. With just over 3,000 employees, our tight-knit community allows for professionals eager to learn and willing to teach to connect and grow together. We believe that diversity, equity, inclusion, and allyship are not just business imperatives — they are central pillars of our employee experience. Our entrepreneurial culture and flat structure allow creative ideas and original concepts to drive our business forward — and for careers to take flight. We are looking for a Back-end AI Engineer to join our team to design, develop, and deploy advanced AI-driven applications and solutions to support Lazard's Financial Advisory and Asset Management businesses. We'll trust you to Lead large-scale AI and machine learning projects that deliver actionable insights and drive innovation Collaborate closely with investment bankers, portfolio managers, research analysts, data scientists, software engineers, and senior management across the Firm to deliver impactful solutions Demonstrate passion and interest in cutting-edge AI technologies Be a curious problem-solver that can spot gaps and opportunities to improve our business with a strong focus on cloud-native solutions, generative AI, natural language processing, and predictive analytics Couple your advanced technical and domain expertise with ability to communicate complex concepts to non-technical stakeholders You'll need to have Minimum 2 years of professional work experience post-undergrad developing large-scale machine learning/GenAI applications in a back-end focused role within a production environment is required Strong communication skills, with the ability to translate technical findings into actionable business strategies for bankers, investors, and other stakeholders Ability to work both independently and collaboratively Passion for building innovative, high-quality AI-driven products 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 techniques (e.g., sentiment analysis, entity recognition, topic modeling, and retrieval-augmented generation) Experience working with AI Foundry and AI Search, leveraging advanced AI capabilities for data processing and retrieval Experience with agentic workflows to build intelligent, autonomous systems Proficiency in APIs and microservices frameworks like FastAPI or Flask Experience with Docker and Kubernetes for managing containerized applications and ensuring scalable deployments Strong expertise in ETL processes like Prefect or Airflow for efficient data pipeline orchestration and workflow automation Proficiency in AWS and API Management (APIM) to ensure seamless cloud operations and secure API integrations Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, ElasticSearch) for data querying and analysis Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field US Citizenship or Permanent Resident status is required Ability to work in the office in 30 Rock (our NY Headquarters) at least 3 days each week We'd love to see Prior experience in the financial industry or a strong interest in finance Familiar with Databricks, Azure AI and Microsoft Copilot ecosystem Expertise in Python and frameworks such as TensorFlow, PyTorch, and scikit-learn Expertise in building advanced retrieval-augmented generation (RAG) systems and developing autonomous LLM agent workflows Familiarity with Data Fabric is a plus, enhancing data connectivity and accessibility across distributed environments Experience with real-time AI applications and stream processing frameworks Demonstrated success in delivering AI solutions with measurable business impact

Lazard is one of the world's leading financial advisory and asset management firms. Our people make the difference. With just over 3,000 employees, our tight-knit community allows for professionals eager to learn and willing to teach to connect and grow together. We believe that diversity, equity, inclusion, and allyship are not just business imperatives — they are central pillars of our employee experience. Our entrepreneurial culture and flat structure allow creative ideas and original concepts to drive our business forward — and for careers to take flight.