Cooley is seeking to become a leader in the digital practice of law by designing and implementing enterprise-scale artificial intelligence and machine learning solutions across Azure, AWS, and other emerging cloud and hybrid platforms.
Requirements
- Hands-on experience architecting AI/ML solutions on Azure and/or AWS
- Experienced in integrating AI/ML workloads with enterprise data sources (data lakes, warehouses, APIs, or streaming)
- Understanding of cloud security, governance, and data privacy standards
- Ability to work with Microsoft Office suite, iManage and other firm applications
- Strong analytical and critical thinking in day-to-day tasks
- 5+ years directly applicable experience (e.g., AI/ML architecture experience)
Responsibilities
- Design and implement end-to-end AI/ML architectures across Azure, AWS, and other platforms to support enterprise-scale solutions
- Partner with engineering and business teams to translate requirements into scalable ML and AI solutions
- Establish and enforce architecture standards, governance, and best practices for AI/ML solutions
- Optimize performance, scalability, and cost efficiency of cloud-based AI/ML workloads
- Integrate AI/ML solutions with enterprise data platforms (e.g., data lakes, warehouses)
- Ensure solutions adhere to security, compliance, and data privacy standards
- Stay current with industry trends and innovations in AI, ML, and cloud-native architectures
Other
- Ability to work extended and/or weekend hours, as required
- Ability to travel, as required
- Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline (preferred)
- Excellent oral and written communications skills, including technical and user documentation writing
- Strong analytical ability and implementation skills
