About the job
As an AI Architect, you will be responsible for overseeing the design and execution of key tool development programs. This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions. You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life.
Responsibilities
Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation.
Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases.
Act as a product developer and owner from concept to rollout—defining requirements, developing proofs of concept, collecting feedback and iterating solutions.
Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases).
Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems.
Maintain strong documentation and governance around data usage, model performance and ethical AI standards.
Stay current on emerging trends in AI, machine learning and legal tech to help shape the department’s AI strategy.
Qualifications
Minimum
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
5+ years of experience building and deploying AI/ML or automation solutions in production environments.
Strong programming skills in Python (proven ability to quickly master new frameworks and tools).
Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation.
Proven ability to communicate complex technical concepts to non-technical stakeholders.
Strong product development mindset—able to translate business needs into practical, scalable AI tools.
Prior experience in or exposure to legal tech or legal operations.
Preferred
Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.).
Experience building internal AI assistants or chatbots for enterprise knowledge retrieval.
Understanding of data privacy, compliance and governance frameworks relevant to legal data.