The Associate Director of Engineering, Legal Technology will provide technical leadership within the Knowledge & Innovation (K&I) department, driving the design, development, integration and delivery of modern legal technology solutions. This role combines hands-on architectural expertise with people leadership and strategic partnership across Knowledge, IT, and external vendors.
This role will lead engineering and solution architecture efforts across both custom-built and SaaS legal technology platforms, while serving as a subject matter expert (SME) for Search, Retrieval-Augmented Generation (RAG), and related AI-enabled knowledge systems.
This role reports to the Chief Knowledge & Innovation Officer (CKIO) and is critical to scaling the Firm鈥檚 Knowledge & Innovation capabilities. The Associate Director of Engineering will help transform how attorneys access knowledge, leverage AI, and deliver value to clients鈥攚hile ensuring solutions are robust, secure, and aligned with the Firm鈥檚 long-term strategy
Key Responsibilities
Engineering & Architecture Leadership
路聽聽聽聽聽聽 Lead engineering strategy and solution architecture for Knowledge & Innovation initiatives, ensuring scalability, security, and alignment with Firmwide technology standards.
路聽聽聽聽聽聽 Design and oversee integrations across SaaS platforms, internal systems, data sources, and AI / LLM services used in legal workflows.
路聽聽聽聽聽聽 Act as technical authority for evaluating, implementing, integrating and extending legal tech solutions (e.g., knowledge management, document intelligence, research, drafting, and workflow tools).
Search, RAG, and AI Enablement (SME)
路聽聽聽聽聽聽 Serve as a key subject matter expert for enterprise search, semantic search, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
路聽聽聽聽聽聽 Provide input to document and data storage and organization approaches, to enable the most responsive and performant retrieval approaches
路聽聽聽聽聽聽 Partner with Data Science, Practice Solutions & the Firm鈥檚 Legal Practices to design AI-powered solutions that systematically surface Firm knowledge, precedents, and insights in a secure and auditable manner.
路聽聽聽聽聽聽 Help establish best practices for data ingestion, indexing, retrieval, grounding, and evaluation of AI-driven search and generative systems.
路聽聽聽聽聽聽 Conduct independent research to stay current on emerging retrieval techniques and their applicability to the Firm
Team Leadership & Delivery
路聽聽聽聽聽聽 Lead and mentor a small, high-performing engineering team supporting both custom development and SaaS configuration, integration and extension (focused on lawyer tools).
路聽聽聽聽聽聽 Work with IT to set technical direction, establish protocols, review designs and code, and ensure consistent engineering quality and documentation.
路聽聽聽聽聽聽 Manage delivery across multiple initiatives, balancing rapid experimentation with production-grade reliability.
Vendor & SaaS Enablement
路聽聽聽聽聽聽 Act as technical lead for vendor engagements, including solution viability, design reviews, integrations, and roadmap alignment.
路聽聽聽聽聽聽 Oversee customization, configuration, and extension of SaaS legal tech platforms through APIs, middleware, and automation.
路聽聽聽聽聽聽 Evaluate emerging legal technology and AI vendors in partnership with Practice Solutions, Data Science and Knowledge Management teams.
Qualifications & Experience
Required
路聽聽聽聽聽聽 Bachelor鈥檚 degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
路聽聽聽聽聽聽 10+ years of experience in software engineering, solution architecture, or platform engineering, with at least ~5 years in a technical leadership role.
路聽聽聽聽聽聽 Demonstrated experience designing and implementing search platforms, semantic search, or RAG-based systems.
路聽聽聽聽聽聽 Strong experience with cloud-based architectures, APIs, and modern development frameworks.
路聽聽聽聽聽聽 Proven ability to lead small engineering teams and deliver complex, cross-functional initiatives.
Preferred
路聽聽聽聽聽聽 Experience in legal technology, professional services, or other highly regulated environments.
路聽聽聽聽聽聽 Experience with document-specific segmentation and storage approaches.
路聽聽聽聽聽聽 Familiarity with LLM-integrated search platforms, vector databases, term frequency approaches, structural and hierarchical indexing, knowledge graphs, and corresponding AI governance considerations.
路聽聽聽聽聽聽 Familiarity with document classification, text classification and named entity recognition techniques.
路聽聽聽聽聽聽 Experience integrating and extending enterprise SaaS platforms.
路聽聽聽聽聽聽 Exposure to knowledge management systems, document management systems (DMS), or legal research tools
Key Competencies
路聽聽聽聽聽聽 Technical leadership and architectural judgment
路聽聽聽聽聽聽 Strong communication skills with both technical and non-technical stakeholders
路聽聽聽聽聽聽 Pragmatic, business-oriented approach to engineering and innovation
路聽聽聽聽聽聽 Ability to balance experimentation with enterprise-grade reliability and security
路聽聽聽聽聽聽 Curiosity and continuous learning mindset, particularly in AI and legal tech
Salary Information
NY Only: The estimated base salary range for this position is $260,000 to $300,000 at the time of posting.
The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job.
This role is exempt meaning it is not overtime pay eligible.
Simpson Thacher will not sponsor applicants for work visas for this position.
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