Artificial Intelligence Solutions Engineer

Role Overview

• Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems
• Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable
• Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria
• Working with Knowledge Management and practitioners, create/maintain the workflow’s “source of truth” (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates
• Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings
• Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making
• Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate
• Coordinate training, support, documentation and resource material in support of processes and systems
• Engage with end-users to gather feedback, observe and map routines and processes
• Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures
• All other duties as assigned or required

Requirements

• 3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)
• Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI
• Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools
• Experience designing and implementing retrieval-grounded generation in permissioned environments
• Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.

Tech Stack

• Python
• RPA

Benefits

• Health insurance
• Health savings account (with applicable medical plan)
• Dental
• Vision
• Health and/or dependent care flexible spending accounts
• Pre-tax commuter benefits
• Life insurance
• AD&D
• Long-term care coverage
• Backup care for children and/or adults
• Other parental support benefits
• Firm-paid life insurance
• AD&D
• LTD
• Short term medical benefits
• 21 days of Paid Time Off (“PTO”)
• 10 paid holidays each year
• Generous parental leave and fertility benefits