Applied AI Solutions Analyst

Position Summary

The Applied AI Solutions Analyst role is designed for individuals passionate about AI and ready to transform legal workflows. McDermott, Will & Schulte LLP is committed to advancing AI capabilities within the firm, and this position plays a pivotal role in creating and implementing AI solutions.

What You'll Do

• Partner with attorneys and operational leaders to identify workflow pain points and develop AI use cases.
• Design and build AI solutions using advanced AI foundation platforms, including conversational tools and document automation.
• Orchestrate agentic workflows that automate multi-step legal and business processes through integration frameworks and APIs.
• Engineer bespoke applications and solutions with high-quality output using prompting techniques.
• Integrate AI solutions with various enterprise applications such as Microsoft 365, iManage, SharePoint, and the firm's Document Management System.
• Run iterative feedback loops with stakeholders, validating solution designs and maintaining clear documentation throughout the delivery process.
• Maintain awareness of the latest AI developments and share actionable insights with the team.

What You Bring

• 3+ years of experience in delivering software-based solutions in roles such as Business Analyst, Solution Architect, or Technical Product Manager.
• Proven experience in AI development, including the creation of AI tools, workflows, or agents.
• Strong prompt engineering skills and proficiency with at least one leading AI foundation platform.
• Excellent communication abilities, capable of explaining model behavior to senior stakeholders.
• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
• Experience with agentic frameworks, tool-use chains, or autonomous agent orchestration.
• Hands-on experience with AI-assisted development tools and agentic workflow frameworks.
• Familiarity with legal industry workflows, particularly in areas like matter management, knowledge management, or client delivery.
• Understanding of responsible AI and data governance in regulated environments.