AI Engineer – Center of Excellence

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.

At Aderant, the “A” is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the “A”. We bring the “A” to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work – ideas, experience, and passion – to drive our mission forward.

Our people are our strength.

Role Description The AI Engineer will design, develop, and deploy AI-powered solutions as part of the AI Center of Excellence. This role is highly technical, with responsibility for turning business requirements into scalable prototypes and production-ready AI systems. The AI Engineer will work closely with the AI Lead and other engineers to accelerate adoption of AI technologies across the enterprise. Responsibilities

• Build, train, evaluate, and deploy machine learning and generative AI models.
• Design and implement scalable pipelines for data preparation, model training, and inference.
• Develop APIs, services, and integrations that embed AI capabilities into business applications.
• Experiment with state-of-the-art AI frameworks and tools (LangChain, Hugging Face, OpenAI, etc.) to deliver innovative solutions.
• Collaborate with product and engineering teams to identify opportunities and integrate AI features.
• Monitor model performance and continuously improve systems through retraining, fine-tuning, and optimization.
• Contribute to documentation, knowledge sharing, and technical standards for AI adoption.
  
  

Qualifications

• 1-3 years of experience in AI/ML engineering, data science, or related fields.
• Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks).
• Hands-on experience with LLMs, NLP, or other modern AI technologies.
• Knowledge of cloud-based AI/ML services (AWS Sagemaker, Azure ML, Vertex AI).
• Solid understanding of data engineering concepts, including ETL pipelines and data APIs.
• Ability to work in agile teams, rapidly prototype, and iterate solutions.
• Bachelor’s or Master’s in Computer Science, Data Science, or related discipline.