AI Architect

Ogletree Deakins•Greenville, SC

2d•Remote

About The Position

The AI Architect designs, builds, and deploys production AI applications, agents, integrations, and workflow solutions for OD Labs, Ogletree Deakins’ AI incubator, supporting attorney-facing legal work. In partnership with the Project Manager and Business Analysts assigned to OD Labs, the 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. The role covers the full lifecycle of AI solutions, from selecting models, platforms, APIs, and tools through implementation, evaluation, production release, monitoring, troubleshooting, and documentation. It also establishes standards for prompts, context, tool use, and evaluation, and assesses emerging technologies and opportunities to improve solution effectiveness, scalability, and adoption. This is a remote position. Compensation varies by location, and the role is eligible for performance-based bonuses and the benefits described in the posting.

Requirements

Bachelor's degree in a related discipline or equivalent related experience.
Six years of relevant experience.
Hands-on experience designing, building, and deploying production AI-powered systems, 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, such as Python or JavaScript.
Experience developing workflows on agentic or low-code orchestration platforms, such as Newcode, Neota, or Power Automate.
Experience connecting enterprise systems through APIs, MCP, or other integration platforms.

Nice To Haves

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

Responsibilities

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 to protect client and firm information in line 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; 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.