Legal Robotics AI Architect

About the job MeeBoss is sharing this active opportunity on behalf of the hiring company. RSA Tech is an AI-native engineering partner helping leading brands architect the Cognitive Enterprise. This role involves designing and leading AI-powered robotics and automation solutions for the legal industry, combining AI/ML, Generative AI, and enterprise architecture to improve legal research, document processing, compliance, and workflow automation. Job title AI Architect Company MeeBoss Location Remote Compensation Contract Why this role This position offers the opportunity to design end-to-end AI and robotics architecture for legal technology solutions, leading architecture reviews, technical POCs, and production implementation while collaborating with legal SMEs and technical teams. What you will do Design end-to-end AI and robotics architecture for legal technology solutions.Develop AI-powered automation for legal research, document review, contract analysis, case management, and compliance workflows.Architect LLM, RAG, NLP, computer vision, and intelligent agent solutions for legal use cases.Integrate AI systems with legal databases, document management systems, case management platforms, and enterprise applications.Design intelligent robotic/process automation workflows using RPA, APIs, AI agents, and orchestration platforms.Establish secure and scalable architectures for handling confidential legal data and PII.Implement AI governance, access controls, auditability, explainability, and human-in-the-loop workflows.Evaluate and optimize AI models for accuracy, relevance, hallucination reduction, and performance.Lead architecture reviews, technical POCs, solution design, and production implementation.Collaborate with legal SMEs, data scientists, ML engineers, software engineers, security teams, and business stakeholders. What we are looking for 10+ years in software, AI/ML, enterprise architecture, or related technology.Strong experience designing AI/ML and GenAI architectures.Expertise in LLMs, NLP, RAG, embeddings, vector databases, and AI agents.Experience with Python, APIs, microservices, and cloud platforms.Knowledge of robotics/RPA, workflow automation, orchestration, and intelligent automation.Experience with AWS, Azure, or GCP AI/cloud services.Strong understanding of AI security, data privacy, RBAC, encryption, and governance.Experience integrating AI solutions with enterprise systems and data sources.Strong architecture documentation and stakeholder communication skills. Benefits Master's education level preferred. About MeeBoss MeeBoss helps job seekers and hiring teams make direct, relevant career connections.