AI Architect

The AI Architect is responsible for designing, building, and deploying production AI applications, agents, integrations, and workflow solutions for OD Labs, the firm's AI incubator, in support of attorney-facing legal work. Working in partnership with the Project Manager and Business Analysts assigned to OD Labs, this role translates practice group and client needs into secure, maintainable solutions that meet the firm's security, confidentiality, and data standards.

The position reports to the Director of OD Labs.

• Design, develop, test, deploy, and maintain AI applications, agents, retrieval systems, integrations, and workflows that support legal practice and firm operations.
• Select models, platforms, APIs, and tools based on project requirements, and make build-versus-buy recommendations that favor the simplest effective solution.
• Build and maintain integrations between AI tools, enterprise systems, and firm data sources using APIs, tool calling, Model Context Protocol (MCP), and approved integration standards.
• Implement authentication, authorization, logging, retention, and least-privilege access controls that protect client and firm information, consistent with firm security and confidentiality requirements.
• Work with practice groups, Business Analysts, and the Project Manager to define user needs, workflows, data requirements, success measures, and acceptance criteria.
• Establish and apply standards for prompts, context, tool use, and evaluation, and validate response quality, reliability, performance, and cost before production release.
• Monitor usage, adoption, cost, and user feedback for deployed solutions, and troubleshoot and resolve production issues.
• Maintain technical and operational documentation sufficient for maintenance, review, and knowledge transfer.
• Evaluate emerging AI technologies and recommend enhancements that improve effectiveness, scalability, and user adoption.
• Perform other duties as assigned.

Required

Education:

• Bachelor’s degree in a related discipline or equivalent related experience.

Required Experience:

• Six (6) years of relevant experience.
• Hands‑on experience designing, building, and deploying AI‑powered systems in production, such as agentic workflows, retrieval‑augmented generation (RAG) applications, or multi‑model pipelines.
• Experience writing production‑quality code in at least one language commonly used for AI and integration work (e.g., Python, JavaScript).
• Experience developing workflows on agentic or low‑code orchestration platforms (e.g., Newcode, Neota, Power Automate).
• Experience connecting enterprise systems through APIs, MCP, or other integration platforms.

Preferred Experience:

• Law firm or legal industry experience, or experience in another complex professional services environment. A background in Labor & Employment, single plaintiff litigation, or class action practice is beneficial.
• Experience with AI platforms and models (e.g., OpenAI, Anthropic, Gemini), including local large language model (LLM) deployment.
• Experience with Microsoft 365, SharePoint, AWS, iManage, Net Documents, or comparable platforms.
• Experience developing ROI analyses and business justifications using adoption metrics, user feedback, and operational data.

The pay range for this remote position varies by location. Pursuant to the applicable state and local regulations the pay range for each location is listed below. Actual compensation is contingent on relevant experience, education, skills, and other job‑related factors as permitted by law. This role is also eligible for performance‑based bonuses and the benefits described below. The Final date to receive applications for this position is [].

Ogletree is a multi‑state…