Applied AI and Data Sciences Engineer
Listed on 2026-05-31
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IT/Tech
Data Analyst, Data Engineer, AI Engineer
We are a Firm where people truly believe in what they do and strive to achieve the highest standards of performance and success.
This position may be based at the Firm's Global Operations Center in Tampa, Florida, or at one of the Firm's offices in Dallas, Atlanta, or Washington, D.C.
General DescriptionThe Applied AI and Data Sciences Engineer supports the development and management of applied data sciences and artificial intelligence (AI) tools, platforms, projects, engagements, and related processes. This role contributes to the implementation and ongoing support of the firm’s initiatives and partnerships to develop and scale data sciences and AI tools for lawyers and business departments. The Engineer develops and supports the firm’s AI and data sciences custom solutions, executes technical implementation of data sciences and AI applications, and provides ongoing service, support, and planning for continued enhancements.
The Engineer will also partner closely with technology, data and intelligence solutions teams in the development and delivery of the firm’s innovative AI solutions, contributing to digital transformation programs, technical and business process support, and collaboration with internal and external resources.
- Support the design, development, and support of applied data sciences and AI program, including inception-to-adoption of the firm’s custom AI solutions and projects.
- Engage IT staff, vendors, and other third parties to address system-level technical issues, manage internal and external integrations, and implement upgrades and enhancements.
- Collect and communicate success metrics to measure the quality and quantity of data used within, and developed by, data sciences and AI tools, as well as the performance of our AI solutions against industry benchmarks.
- Develop standard configuration documentation and related guides for data consumers.
- Collaborate to design end-user training, onboarding, and user adoption programs and communications.
- Consult on the evaluation of vendor products for interoperability, security, and functionality.
- Special projects and duties as assigned.
- Ability to develop effective and collaborative relationships.
- Champion for governance, change management, process improvement, user adoption, and the constant evolution of complex data strategies and needs.
- Initiative and creativity to develop unique and innovative approaches to address existing challenges and/or positively affect lawyer productivity, client service, and overall fiscal health of the firm.
- Excellent written and verbal communication skills.
- Excellent organizational, teamwork, customer service and critical thinking skills.
- Demonstrated ability to manage multiple complex assignments with competing deadlines and priorities.
- Experience managing projects from inception through planning, execution, and delivery phases.
- 2+ years’ experience working as a data sciences professional and experience in applying AI tools and techniques towards successful product outcomes.
- Direct experience working with GenAI, LLM fine-tuning, knowledge graphs, and related tools and techniques.
- Expert proficiency in SQL, Apache Spark, Python, Microsoft Azure Data Factory, Microsoft Fabric, and related products and platforms.
- Expert proficiency with common AI and ML applications, data mining and statistical tools, scripting, and programming experience desired.
- Expert proficiency in cloud data platforms, data sciences, and application development.
- Expert proficiency working with MS Office and Power platform especially for analyzing and communicating data-related concepts.
- Proficiency with cybersecurity best practices and compliance requirements in the legal industry and for clients such as financial and governmental institutions.
- Experience with, and willingness to learn more about, emerging Microsoft One Lake, Fabric, Power, and related concepts and applications.
- Experience in safety and ethical aspects of AI.
- Master’s or Doctorate is strongly preferred.
- Familiarity with professional services and related…
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