AI Engineer designing and building frameworks for dynamic interactions with public health data. Collaborating with teams to ensure compliance and optimize performance in AI systems.
About the role
- AI Engineer designing and implementing AI-powered workflows in a leading international law firm. Collaborating with legal teams to enhance productivity and client service through innovative technology.
Responsibilities
- Collaborate with attorneys and practice groups to identify opportunities for AI-driven workflow automation and similar needs, as they arise.
- Design, prototype, and deploy AI-powered workflows using our Gen AI platforms.
- Develop workflows to extract data from large datasets, supporting legal research, and case strategy.
- These legal workflows will also include document review, due diligence, contract analysis, and drafting.
- Serve as a bridge between legal and technical teams, translating legal requirements into scalable AI workflows while explaining AI capabilities and limitations.
- Monitor performance and continuously improve AI workflows based on user feedback and insights.
- Conduct testing and QA for platform updates, enhancements, or integrations.
- Run training sessions and create documentation to support adoption of AI tools and associated workflows.
- Train users on the use of the workflows and provide basic end-user support for "how to" questions.
- Ensure all AI solutions adhere to legal ethical standards, data privacy laws, and firm policies; monitor and evaluate performance for continuous improvement.
- Stay informed about emerging trends in AI and legal technology, recommending initiatives to maintain the firm’s competitive edge.
Requirements
- A Bachelor’s degree required, a Master’s degree would be considered a plus but not required.
- 2+ years of experience in AI engineering, legal tech, or process design in a business or tech setting.
- Background in law or legal operations is a plus, but not required.
- Strong understanding of Gen AI technologies, including LLMs, RAG, data pipelines, and agentic AI.
- Experience with platforms like Harvey, Hebbia, or similar legal AI tools.
- Some proficiency in Python or other scripting languages; familiarity with APIs and cloud platforms (Azure, AWS) is preferred, but not required.
- Excellent consultative and communication skills; ability to engage with legal professionals and stakeholders.
- A natural curiosity with a problem solving aptitude, someone who thrives on being a team player while being a self-starter as well.
- Excellent written and verbal communication skills; able to explain complex concepts to non-technical audiences.
- Strong interpersonal skills; proven ability to work in cross-functional teams with lawyers, paralegals, and technical staff.
Benefits
- Professional development opportunities
- Collaborative culture that is very supportive of professional development
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