The Legal department at JPMorganChase supports the firm's businesses globally by advising on regulatory, transactional and litigation matters across more than 100 countries. The Legal Chief Data Office is responsible for advancing data, analytics and AI capabilities across Legal, with a particular 2026 focus on responsible Generative AI adoption. AI in Legal is a stated focus area for the General Counsel and senior Legal leadership.
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. You will be a hands-on builder, designing, prototyping and shipping no-code solutions such as Assistants, Skills, knowledge-based collections and workflows that return time to attorneys on high-volume, repetitive work. The role is complementary to full-stack Legal Technology by handling problems suited to rapid no-code delivery while Technology focuses on full builds.
This is a builder role first. You will spend most of your time in discovery with attorney partners, layering Skills, models and tools on LLM Suite to compose effective solutions, iterating with users and shepherding solutions through governance into production. You will contribute directly to the team's reusable Component Library and Solution Catalog so each new solution compounds the team's velocity. The role does not require deep data science or full-stack engineering; it requires fluency in the Generative AI stack as it exists at JPMorganChase, strong judgment about which features and patterns to apply and the ability to partner credibly with Legal and technology partners.
Job responsibilities
- Embed with attorneys and Legal staff across Practice Groups and lines of business to understand workflows, gather requirements and identify high-leverage Generative AI opportunities
- Design, prototype and ship Generative AI solutions on LLM Suite by composing Assistants, Skills, knowledge-based collections, prompt templates and workflows
- Apply prompt architecture patterns from the Component Library including two-pass summarization, anchored summarization, citation-or-abstain, schema-driven outputs and composable system instructions
- Translate attorney problems into Solution Specs with edge cases, guardrails and success criteria
- Move solutions through user acceptance testing, pilot and control review with Legal CDO governance and Legal Controls
- Extend the Component Library and Solution Catalog so patterns, guardrails and templates compound the team's velocity over time
- Partner 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 packages
- Mentor volunteer AI Practitioners and embedded Practice Group contributors, raising the quality and consistency of solutions built across Legal
- Support adoption through clear documentation, demos and catalog entries that help attorneys discover and use what the team builds
Required qualifications, capabilities and skills
- Bachelor'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 workflows
- Hands-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 solutions
- Strong 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 outputs
- Ability to gather requirements directly from non-technical stakeholders, translate them into a working prototype within days and refine through structured feedback
- Working 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 required
- Governance and risk mindset around guardrails, escalation, confidentiality, auditability and human-in-the-loop review
- Strong 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 leadership
- Comfort working independently in ambiguity with multiple concurrent solution builds
Preferred qualifications, capabilities and skills
- Prior experience in financial services, regulated industries or another high-compliance environment
- Familiarity with structured data formats such as JSON or YAML sufficient for schema-driven outputs and clean technology handoffs
- Experience contributing to a reusable component library, prompt library or solutions catalog
- Exposure to legal workflows such as contract review, regulatory summarization, document analysis, mailbox triage or matter intake
- Experience supporting adoption through demos, training sessions, hackathons or written collateral such as solution briefs, catalog entries or newsletter contributions