Debevoise & Plimpton LLP is a premier law firm with market-leading practices, a global perspective, and strong New York roots. Our clients look to us to bring a distinctively high degree of quality, intensity, and creativity to resolve legal challenges effectively and cost-efficiently. We believe in hiring talented and dedicated individuals as members of our administrative and professional community. We draw on the strength of our culture and structure to deliver the best of our firm to our lawyers and clients through true collaboration.We are seeking a Legal AI Systems Engineer to serve under the direction of the Head of Practice Systems & Applied AI in our Practice Systems & Applied AI Team within the Technology Department. This individual will serve as a senior technical contributor responsible for researching, designing, developing, integrating, and supporting artificial intelligence capabilities that advance the Firms legal practices and operations.The Legal AI Systems Engineer will lead hands-on AI research and development, translate practice and business needs into secure technical solutions, and help move promising use cases from experimentation through production. This role will work closely with Practice Systems & Applied AI, Information Security, Data Strategy & Security attorneys, Enterprise Applications, Infrastructure, Knowledge Management, lawyers, and other stakeholders to ensure that AI solutions meet the Firms requirements for security, privacy, reliability, usability, and performance.RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO: Collaborate with the Head of Practice Systems & Applied AI to execute the Firms AI strategy through research, prototyping, development, integration, testing, and deployment of AI-enabled solutions. Lead technical research and development involving large language models, generative AI, retrieval-augmented generation, agentic systems, document intelligence, and related technologies. Design, build, and maintain AI applications, services, workflows, integrations, and proto@types that support legal practices and Firm operations. Evaluate emerging AI models, frameworks, platforms, development tools, and infrastructure against defined practice, security, performance, and operational requirements. Develop on-premises, private, or hybrid AI capabilities where security, privacy, data residency, integration, or performance requirements warrant. Build and support Model Context Protocol servers, clients, tools, and related integrations that securely connect approved AI applications with internal databases, document repositories, knowledge systems, and enterprise platforms. Design and configure agent harnesses, agentic workflows, and governance frameworks that ensure responsible deployment and oversight of autonomous AI capabilities. Design and support secure APIs, tunnels, gateways, service connections, and middleware integrations between AI platforms and Firm systems. Assist Information Security with technical assessments of new AI products, features, models, connectors, APIs, and data flows, including architecture, access, retention, and security considerations. Support testing for prompt injection, data leakage, insecure tool use, access-control failures, model behavior, and other AI-specific security and reliability risks. Develop evaluation frameworks, test datasets, and quality-assurance processes to measure the accuracy, safety, performance, latency, usability, and cost of AI solutions. Partner with Enterprise Applications, Infrastructure, Information Security, Knowledge Management, Data Strategy & Security attorneys, and other teams to move AI use cases from experimentation through production. Integrate AI capabilities into practice systems, including document management, knowledge management, search, collaboration, workflow, and content management platforms. Develop reusable components, connectors, templates, se

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Practice Systems & Applied AI: Legal AI Systems Engineer