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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Solutions Analyst - **Company:** Mcdermott Will & Emery LLP - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $93,000.0 - $169,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Microsoft Azure, Cloud Computing, Information Systems, Data Governance, Data Warehousing, Programming Tools, Document Management Systems, JSON, Microsoft SharePoint, Software Engineering, Enterprise Software Applications, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, Information Technology, Integration Frameworks, Restful APIs, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/applied-ai-solutions-analyst-legal-practice-groups-los-angeles-ca--201fe45f-1fe2-4844-b52c-3b2c4f766e2c ## About the Role REST APIs Azure iManage SharePoint Microsoft 365, * 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 PREFERRED * 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, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Business Analysis, Business Processes, Cloud Computing, Communication Skills, Compensation and Benefits, Computer Science, Data Warehousing Applications, Document Management, Documentation, Engineering, Enterprise Applications, Establish Priorities, Information Technology & Information Systems, JSON, Leading Edge Technology, Legal, Microsoft Windows Azure, Physical Demands, Pre-Sales, Product Management, Programming Tools, Psychiatry and Mental Health, REST (Representational State Transfer), Sales/Support Engineering (SE), Software Engineering, Systems Engineering, Team Lead/Manager, Team Player, Use Cases ## Description Are you a Product Manager, Pre-Sales Engineer, or Business Analyst who lives and breathes AI? Do you work with attorneys? This role was built for you. McDermott, Will & Schulte LLP is among the most ambitious firms in the world when it comes to AI - and we're just getting started. We're building a purpose-built AI capability inside the firm: intelligent applications, agentic workflows, and deep integrations that are transforming how our attorneys and staff professionals work and how we serve clients. The Applied AI Solutions Analyst sits at the center of that effort. You won't hand requirements to a dev team. You'll discover opportunities, design solutions, and build them yourself using the most advanced AI tools available. WHAT YOU'LL DO * 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 ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)