Applied AI Solutions Analyst, Legal Practice Groups

Applied AI Solutions Analyst

McDermott Will & Schulte LLP is building a purpose‑built AI capability inside the firm: intelligent applications, agentic workflows, and deep integrations that transform how attorneys and staff professionals work and how we serve clients. The Applied AI Solutions Analyst sits at the center of that effort, discovering opportunities, designing solutions, and building them using the most advanced AI tools available.

• Partner with attorneys and legal practice group leaders to surface workflow pain points and translate them into AI use cases.
• Design and build AI solutions using state‑of‑the‑art AI foundation platforms, from conversational tools to full document automation.
• Orchestrate agentic workflows that autonomously handle multi‑step legal and business processes via integration frameworks and APIs.
• Use prompting to engineer bespoke applications and solutions with high‑quality output.
• Integrate AI solutions with M365 applications, Enterprise Data Warehouse, the firm’s Document Management System and other enterprise applications.
• Run iterative feedback loops with stakeholders; validate solution designs and maintain clear documentation throughout delivery.
• Monitor the LLM landscape and bring actionable AI innovations back to the team.

• Leading AI Foundation Models
• Agentic Frameworks
• Vector Store(s)
• Enterprise Data Platform
• Agentic Workflows
• MCP
• REST APIs
• Azure
• iManage
• Share Point
• Microsoft 365
• Git

• 3+ years delivering software‑based solutions in a Business Analyst, solutions, or technical product role.
• Exposure to legal industry workflows — matter management, KM, or client delivery.
• Demonstrated AI building experience — delivered AI tools, workflows, or agents professionally or personally.
• Deep prompt engineering skill; proficiency with at least one leading AI foundation platform.
• API integration experience — REST, JSON, and cloud environments (Azure preferred).
• Excellent communication skills — can explain model behavior to a managing partner.
• BS in Computer Science, Information Systems, Engineering, 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 responsible AI and data governance in regulated environments.

Target Hiring Range $93,000 - $169,000.

Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job‑related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full‑time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear.
• Employee must occasionally lift up to twenty (20) pounds.

Typical indoor office environment.

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.