Senior AI & Workflow Engineer (Legal Tech)

Willkie Farr & Gallagher LLP

Dallas (TX)

On-site

USD 190,000 - 215,000

Full time

14 days+

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Job summary

Willkie Farr & Gallagher LLP in Dallas seeks a Senior Innovation Engineer to design and deliver secure, scalable AI and low-code solutions for attorneys, business professionals, and clients. You will ship Harvey workflows, run interactive AI sessions, and act as the trusted AI advisor in the Dallas office, with in-office presence three days a week and some travel.

You will collaborate with the Learning & Technology Adoption team to enable adoption, provide training, and contribute to a growing

Qualifications

Bachelor’s degree in Information Systems, Computer Science, Legal Studies, Data Science, or a related field (or equivalent experience).
3–6 years of experience in legal technology, enterprise solutions, knowledge innovation, or a comparable professional services environment.
Hands-on experience building with at least one generative AI platform—Harvey strongly preferred—including prompt design, Assistants/Agents, and workflow orchestration.
Demonstrated proficiency with Microsoft 365 and the Power Platform, particularly Power Automate and Power Apps; SharePoint Online experience a plus.
Working knowledge of REST APIs, JSON, and integration basics; familiarity with Power BI, SQL fundamentals, and light scripting (JavaScript, Python, or similar) is a plus.
Strong facilitation and communication skills—able to stand in front of a room of partners, run a working session, and translate complex systems into accessible language.
Strong grounding in data governance, responsible AI, and information security principles, particularly in a law firm or other regulated environment.
Familiarity with other legal-tech platforms—Lexis+ AI / Protégé, Wendell-type internal chatbots, Centari, Syntheia, Kira, CoCounsel, or similar—is preferred.

Responsibilities

Design, build, test, and deploy Harvey workflows (Assistants, Vaults, and Workflow Builder automations) in partnership with practice groups across Litigation, Corporate & Financial Services, Asset Management, and other practices.
Develop Power Automate and Power Platform low-code solutions that connect Harvey, Microsoft 365, SharePoint, and firm systems of record to eliminate manual steps in attorney workflows.
Build and maintain Retrieval-Augmented Generation (RAG) knowledge bases for firm-approved AI tools, ensuring secure, context-aware outputs grounded in authoritative source material.
Contribute to the firm’s growing library of reusable workflows, prompt patterns, and integration templates so that solutions built for one matter or practice can be rapidly redeployed across the firm.
Apply the firm’s Responsible AI principles—privacy, transparency, accountability, and human oversight—in every build, consistent with Willkie’s ISO/IEC 42001 AI management system.
Help design and deliver interactive AI working sessions, office hours, and enablement programs—co-facilitating across the firm’s offices as needed—guiding attorneys from a raw workflow idea to a production-ready Harvey or Power Platform build.
Act as a hands-on technical contributor during interactive sessions and office hours: triaging ideas in real time, pairing with attorneys to prototype, and packaging outputs for post-session hardening and deployment.
Capture session outputs, adoption metrics, and impact data and feed them back to AI & Innovation leadership, practice group leaders, and firm management.
Contribute to the firmwide content pipeline coming out of these programs—case studies, demo videos, and reusable prompt patterns.
Track workflow adoption, usage, and business impact using Harvey and Power BI analytics; translate findings into clear narratives for practice leadership and firm management.
Partner with the Applied AI team, Innovation Advisors, Learning & Technology Adoption Specialists, IT, and Application Development to scope, design, implement, and sustain innovation projects.
Translate attorney and business-professional requirements into actionable technical plans; communicate progress, risks, and outcomes to AI & Innovation leadership.
Share observations and user feedback with internal product, engineering, and governance teams, including AI governance leads, to inform vendor roadmaps and firm policy.