Senior AI Engineer

Job Title: Senior AI Engineer

Location: Boston, New York or Washington, D.C. Onsite

Duration: Long term contract

ABOUT THE ROLE

The Senior AI Engineer, aligned with department and firmwide objectives and priorities and under the direction of the Director of Data Science Analytics, designs, integrates, operates, and continuously improves the Firm's generative-AI platform built on third-party providers (e.g., ChatGPT Enterprise). The role also leads structured evaluations of additional providers (e.g., Harvey, Legora). Focus is on building reliable, secure, and compliant services that connect these providers to Firm systems (ServiceNow, Salesforce, SharePoint/OneDrive, iManage, Workday, Microsoft 365), along with custom GPTs and enterprise connectors. Success is measured by developer and attorney adoption, measurable productivity gains, service reliability, and adherence to Responsible AI and client obligations.

• Platform Engineering & Integration
• ChatGPT Enterprise: Custom GPTs & Connectors
• Third-Party AI Platform Evaluation & Selection
• Safety, Security, and Compliance
• Productization & Change Management

Job description:-

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field required; Master's preferred.
• 8 years of professional experience in software or AI engineering, including at least 3 years building LLM-powered applications.
• Deep experience with cloud and DevOps technologies (Docker/Kubernetes, CI/CD, IaC) and one or more major cloud AI stacks (Azure strongly preferred).
• Strong working knowledge of retrieval systems, vector databases, embeddings, and agent frameworks such as Semantic Kernel or LangChain.
• Proven experience with ChatGPT Enterprise, custom GPT design, and secure tool integration.

• Experience in legal or other highly regulated industries with familiarity in confidentiality, privilege, retention, and client OCGs.
• Exposure to Microsoft 365 Copilot, Copilot Studio, Microsoft Graph connectors, and Teams/SharePoint extensibility.
• Understanding of SOC 2 and ISO 27001 controls, DLP, eDiscovery, and data-classification best practices.