[Hiring] Legal Robotics AI Architect @Apptad, Inc.

Role Description

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

• 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.

Qualifications

• 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.

Preferred Skills

• 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.
• Familiarity with AI governance and legal/compliance frameworks.
• Experience building human-in-the-loop AI systems and production-grade AI platforms.