AI Solutions Analyst
Listed on 2025-12-17
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IT/Tech
AI Engineer, Data Analyst
Build your big career with the firm that does Big Law, Better
. McDermott Will & Schulte is a leading global law firm that brings together more than 1,750 lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.
At McDermott, we don’t just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office.
With Us, You’ll Find- A firm where everyone belongs:
Our award-winning culture prioritizes warmth and authenticity — we encourage you to be yourself! - Enthusiasm for all perspectives:
We’re smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive. - Support to feel your best and do your best:
Wellness is integral to building a successful career and a rich life. That’s why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance. - Real rewards for real work:
We offer generous compensation packages that recognize hard work and excellence.
Position Summary:
The AI Solutions Analyst designs, develops, and implements AI-powered solutions that improve efficiency and productivity across McDermott’s administrative teams and legal practices, strengthening the firm’s ability to better serve clients. This role collaborates closely with Product Management, firm AI leadership, Knowledge Management, and business sponsors to translate needs and ideas into secure, scalable, and innovative AI solutions.
The ideal candidate has an engineering and business analysis background, is analytical, detail-oriented, and collaborative, and applies strong technical and problem‑solving skills to create intelligent solutions that advance the firm’s AI capabilities. This role builds advanced prompt-based solutions and orchestrates agentic workflows that automate and enhance complex business and legal processes, leveraging firm knowledge and operational data through MCP, APIs, and other integration frameworks.
Acting as both technologist and business analyst, the AI Solutions Analyst works with stakeholders to surface needs, assess current processes, and translate requirements into practical AI‑driven workflows. The analyst gathers, synthesizes, and tests stakeholder feedback to ensure each solution aligns with firm standards for security, compliance, and reliability while delivering measurable operational impact and an improved user experience.
Essential Functions And Responsibilities- Engage directly with stakeholders across legal practices and administrative departments to understand business needs, pain points, and workflow challenges; translate these into clear AI use cases, functional requirements, and prototype concepts.
- Design, build, and deploy AI applications, prototypes, and integrations using AI foundation models, APIs, and cloud-based platforms; facilitate iterative feedback loops with stakeholders to refine prompts and workflows, validate solution designs, and ensure that AI assistants meet operational and user experience expectations.
- Leverage leading AI models and related technologies to drive initiatives in productivity improvement, research, and process optimization.
- Build, test, and maintain AI agents and conversational interfaces that improve user experience and operational efficiency.
- Implement and maintain secure, compliant, and well‑documented AI workflows in accordance with firm policies and governance standards.
- Evaluate and integrate third‑party AI platforms and APIs (e.g., OpenAI, Anthropic, Microsoft, etc.) into internal systems where appropriate.
- Create, test, and optimize prompt templates and instruction sets to improve model performance, reliability, and alignment with user needs.
- Support data preparation, feature engineering, and model optimization in collaboration with data engineers and developers.
- Participate in agile ceremonies, including sprint planning,…
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