Legal Robotics AI Architect REMOTE W2 Position

Position: Legal Robotics AI Architect

Location: Remote

Engagement: Contract W2

Seeking a Legal Robotics AI Architect to design and lead AI-powered robotics and automation solutions for the legal industry. The role will focus on combining AI/ML,

Legal technology / LegalTech experience.

Experience with legal research, contract lifecycle management, e-discovery, document intelligence, or case management.

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Azure OpenAI, AWS Bedrock, or equivalent.

Knowledge of RPA platforms such as UiPath, Automation Anywhere, or Power Automate.

Experience with Knowledge Graphs / Graph RAG.

Generative AI, robotics automation, legal workflows, and enterprise architecture to improve legal research, document processing, compliance, and workflow automation

Key Responsibilities

10+ years in software, AI/ML, enterprise architecture, or related technology.

Design end-to-end AI and robotics architecture for legal technology solutions.

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.

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.

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