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Artificial Intelligence Engineer

WilmerHale

About this role

Job title: Artificial Intelligence Engineer

About the Role

The Artificial Intelligence Engineer at WilmerHale is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation across the firm. You will work with the legal practices and business departments to conceptualize, develop, deliver, and support AI-powered solutions with a focus on AI and related technologies. You will collaborate with Information Services to manage AI projects end-to-end, including project definitions, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. You will also assist in creating best practices for the development, maintenance, and use of AI solutions, assess AI-related COTS solutions, and help end users create prompts to optimize the effectiveness of Large Language Models.

What You'll Do

  • Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
  • Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
  • Optimizes existing generative AI models for improved performance, scalability, and efficiency.
  • Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
  • Contributes to the establishment of best practices and standards for AI development within the organization.
  • Interacts with business stakeholders and explains technical issues and approaches to a non-technical audience.
  • Provides functional and technical support and enhancements for the firm's AI solutions.
  • Provides technical mentorship and guidance to other team members.
  • Creates and delivers end-user training and documentation and provides second-line support to other users.
  • Displays professionalism, quality service.

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