Job responsibilitiesEmbed with attorneys and Legal staff across Practice Groups and lines of business to understand workflows, gather requirements and identify high‑leverage Generative AI opportunitiesDesign, prototype and ship Generative AI solutions on LLM Suite by composing Assistants, Skills, knowledge‑based collections, prompt templates and workflowsApply prompt architecture patterns from the Component Library including two‑pass summarization, anchored summarization, citation‑or‑abstain, schema‑driven outputs and composable system instructionsTranslate attorney problems into Solution Specs with edge cases, guardrails and success criteriaMove solutions through user acceptance testing, pilot and control review with Legal CDO governance and Legal ControlsExtend the Component Library and Solution Catalog so patterns, guardrails and templates compound the team's velocity over timePartner with full‑stack Legal Technology and central AI teams to identify when a problem is better routed to a full build and prepare clear handoff packagesMentor volunteer AI Practitioners and embedded Practice Group contributors, raising the quality and consistency of solutions built across LegalSupport adoption through clear documentation, demos and catalog entries that help attorneys discover and use what the team buildsRequired qualificationsBachelor's degree and a minimum of three years of relevant experience in legal operations, knowledge management, paralegal work, in‑house legal support, legal technology or an analogous role with deep exposure to legal workflowsHands‑on experience building Generative AI solutions on hosted LLM platforms (e.g., LLM Suite, ChatGPT, Claude, Perplexity), including Agents, prompt templates and knowledge‑based collections, with a clear point of view on how to layer Skills, models and tools to compose effective solutionsStrong context engineering instincts, including the ability to take a vague business problem, decompose it into a structured workflow, define inputs, outputs and edge cases and iterate from real test outputsAbility to gather requirements directly from non‑technical stakeholders, translate them into a working prototype within days and refine through structured feedbackWorking understanding of the modern Generative AI stack, including large language models, retrieval patterns, tool use, agentic workflows and evaluation, at a practical level for choosing the right feature for the problem; deep data science or model training experience is not requiredGovernance and risk mindset around guardrails, escalation, confidentiality, auditability and human‑in‑the‑loop reviewStrong written and verbal communication, with the ability to explain what is being built, why it matters and how it will perform to attorneys, technology partners and senior Legal leadershipComfort working independently in ambiguity with multiple concurrent solution buildsPreferred qualificationsPrior experience in financial services, regulated industries or another high‑compliance environmentFamiliarity with structured data formats such as JSON or YAML sufficient for schema‑driven outputs and clean technology handoffsExperience contributing to a reusable component library, prompt library or solutions catalogExposure to legal workflows such as contract review, regulatory summarization, document analysis, mailbox triage or matter intakeExperience supporting adoption through demos, training sessions, hackathons or written collateral such as solution briefs, catalog entries or newsletter contributionsWe recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. As a Senior Associate AI Practitioner on the Legal GenAI Enablement team, you will sit shoulder-to-shoulder with attorneys and Legal staff to understand real workflows and quickly build working Generative AI solutions using LLM Suite, the firm's Generative AI platform.