Lead AI Engineer (10-12 onsite a month)

Lead AI Engineer

About the Role
The Lead AI Engineer is an integral part ofTechnology & Information Services team. This role will be responsible for leading the architecture, design, and development of full-stack Machine Learning (ML) and Generative AI (GenAI) applications that enhance legal and business processes, while designing and architecting full-stack solutions for ML/GenAI workflows, integrating both frontend and backend components to deliver robust and scalable solutions. This role will be located in our Global Services Office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.


Responsibilities & Qualifications
Other key responsibilities include:
Acting as a technical authority, bringing deep industry expertise to guide architectural decisions and implementation, and ensuring high-quality implementation of AI/ML solutions
Leading cross-functional initiatives by collaborating with Innovation Attorneys, stakeholders, and the engineering team to define technical requirements and deliver solutions that align with organizational goals and strategies
Providing technical leadership by mentoring team members, offering expert advice, and establishing engineering best practices
Working with and making recommendations to the leadership regarding the maintenance and enhancement of existing production applications
Overseeing the end-to-end lifecycle of AI/ML applications from conceptualization and design, through delivery and ongoing support
Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information
We d love to hear from you if you:
Exhibit demonstrated experience leading the design and implementation of enterprise software architectures, including microservices, serverless, and monolithic patterns, with the ability to evaluate tradeoffs and select approaches based on business and technical requirements
Possess advanced proficiency in modern web development frameworks and languages, including React, Typescript, and Node.js with experience architecting, building, and maintaining full-stack applications
Display familiarity with alternative web frameworks such as Vue.js and a strong understanding of component-based architecture, state management, and responsive design principles

And have:
A master s degree in Information Systems, Computer Science, Engineering, Data Science, or a related field, preferably
A minimum of ten (10) years of industry experience in software development and AI
A minimum of ten (10) years of experience leading projects and architecting solutions in industry settings
A minimum of seven (7) years of experience working with agile teams
Experience building and productizing real-world AI models and systems
A minimum of six (6) years in industry roles focused on machine learning, applied AI, or data science roles, preferably