AI Solutions Engineer

About the role

Vedder's Chicago office is seeking an AI Solutions Engineer to design, build, and deploy AI-powered agents that automate and enhance legal and business workflows across the firm.

Responsibilities

• Design, develop, and deploy AI-powered agents utilizing Microsoft Copilot Studio and related technologies.
• Architect and implement end-to-end agent workflows, including input processing, document ingestion, and response generation.
• Configure, test, and optimize prompts, logic, and orchestration to ensure accuracy, reliability, and consistent performance.
• Collaborate with attorneys and business stakeholders to identify high-value use cases and translate requirements into scalable, production-ready solutions.
• Work with IT department to integrate AI solutions with enterprise platforms (e.g., SharePoint, document management systems, Intapp, Outlook, and Microsoft Word) through APIs and connectors.
• Evaluate and enhance business processes by implementing AI-driven automation and standardized solution patterns.
• Monitor solution performance, usage, and adoption, and drive continuous improvement of deployed agents.
• Ensure all solutions adhere to firm security, confidentiality, and AI governance standards, including responsible AI practices.
• Develop and maintain comprehensive documentation of solution architecture, workflows, and agent configurations to support scalability and long-term maintainability.

Qualifications & Required Experience

• 2+ years of experience in AI solutions, automation, business systems, or related roles within a professional services or enterprise environment.
• Proficiency with agent development platforms (e.g., Microsoft Copilot Studio or similar tools), including conversational design, workflow orchestration, and prompt configuration.
• Experience developing and integrating end-to-end automation workflows that embed AI into business processes.
• Strong understanding of AI concepts, including large language models (LLMs), prompt design, and agent-based architectures.
• Familiarity with retrieval-augmented generation (RAG), grounded knowledge architectures, and enterprise content integration.
• Strong understanding of business processes and operational efficiency, with the ability to identify and implement improvement opportunities.
• Understanding of data structures, system integration patterns, and information flow across enterprise applications.
• Demonstrated ability to manage competing priorities and deliver high-quality work within defined timelines.
• Bachelor’s degree in Information Systems, Computer Science or a related field.
• Prior experience in a law firm or professional services environment preferred.

Skills & Competencies

• Demonstrated ability to design and deliver AI-driven solutions and agent-based automation within complex business environments.
• Strong understanding of AI solution architecture, including agent design, workflow orchestration, and system integration.
• Proficiency in translating business requirements into scalable, production-ready technology solutions.
• Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts clearly to non-technical stakeholders, including attorneys and business leaders.
• Strong analytical and problem-solving skills, with a focus on process optimization and automation.
• Sound understanding of enterprise governance, data security, and responsible AI practices.
• Highly organized with strong attention to detail and commitment to quality, accuracy, and reliability.
• Adaptability and continuous learning mindset to stay current with emerging AI technologies and industry trends.