Americas
Corporate
New York
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
What We Offer
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.
We expect the base salary range for this role to be approximately $125,000-$145,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant’s years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, relevant skills for the role. Base salary is one component of Lazard’s compensation package, which also includes comprehensive benefits and may include incentive compensation.
Inclusion at Lazard
Lazard is an intellectual capital business focused on delivering the best advice and solutions to clients. Achieving these objectives requires us to identify, develop and retain the best talent. A workforce comprised of people with varied backgrounds and experiences creates a rich diversity of thought that empowers us to challenge conventional wisdom, as diverse perspectives lead to better decisions.
Our appreciation of diversity’s strength is ingrained in our multicultural heritage. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respect for individual differences, which has been core to our success for 175 years.
The ongoing cultivation of an inclusive culture are essential to our continued growth. We are committed to sustaining an environment in which all employees – regardless of socioeconomic status, race, ethnicity, nationality, religion, gender, gender expression, sexual orientation, physical abilities, veteran or military status – can maximize their individual potential, as well as our collective success.
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