Artificial Intelligence ("AI") Solutions Engineer (Hiring Immediately)

Artificial Intelligence (AI) Solutions Engineer

Cooley is seeking an Artificial Intelligence (AI) Solutions Engineer to join the Practice Engineering team within the Innovation department.

Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (AI) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes-from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:

Position responsibilities:

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

Skills and experience:

Required:

After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications

Ability to work extended and/or weekend hours, as required

Ability to travel, as required

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.

Preferred:

Bachelor's degree

Working knowledge of business analysis, knowledge management, information systems or other-related field

Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys

Knowledge of legal concepts related to the business of the firm and the legal industry

Familiarity with agile development methodologies

Experience engaging with end-users to gather feedback, observe and map routines and processes

Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations

Excellent attention to detail

Excellent analytical skills

Excellent time management and project management skills, with ability to work independently to meet objectives and