AI Workflow Architect — Remote-Eligible Automation

Modern Family Law; Virginia; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

401k

Work From Anywhere

Job summary

Modern Family Law is seeking an AI Workflow Engineer to design and implement AI-native legal workflows and automation systems. You will build the technical plumbing powering AI-enabled service delivery, orchestration, client automation, and integrations across CRMs, document tools, client portals, and business systems.

The role requires production-grade Python, strong systems thinking, and experience with orchestration frameworks, API integrations, and AI infrastructure.

Qualifications

• Bachelor's degree or equivalent practical experience in software engineering, computer science, information systems, automation engineering, or related field.
• Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.
• Production-grade Python and sound software engineering practices, including testing, code reviews, version control, and CI/CD.
• Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangFuse, LangSmith), and API/webhook integrations.
• Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.
• Experience working with automation platforms, orchestration tools, or AI infrastructure frameworks.
• Production-grade Python plus solid engineering practices (testing, code review, version control), and agent orchestration frameworks (LangGraph/LangChain, vector retrieval, LLM observability, e.g., LangFuse/LangSmith, API/webhook integrations).
• Strong analytical, troubleshooting, and systems-thinking abilities.
• Ability to work cross-functionally with technical and non-technical stakeholders.
• Excellent organizational and communication skills.
• Ability to manage multiple complex projects in fast-moving environments.

Responsibilities

• Design, build, and maintain AI-enabled workflow orchestration systems across legal and operational processes.
• Develop integrations between AI platforms, CRMs, document automation systems, client portals, payment systems, and internal operational tools.
• Build automation pipelines and event-driven workflows that support legal intake, document generation, communication systems, workflow routing, and escalation protocols.
• Collaborate with Legal Knowledge Engineers and Product Managers to translate legal workflows into scalable technical architectures.
• Implement API integrations across third-party platforms and internal systems.
• Develop retrieval, prompt orchestration, and workflow execution systems supporting AI agents and AI-assisted processes.
• Assist in designing scalable architectures for AI-powered client experiences and internal operational systems.
• Monitor workflow reliability, system performance, automation effectiveness, and operational scalability.
• Troubleshoot automation failures, workflow bottlenecks, and integration issues.
• Participate in security, governance, auditability, and compliance planning related to AI workflows.
• Document workflow architectures, system logic, integration maps, and operational standards.
• Evaluate emerging automation technologies, orchestration frameworks, and AI infrastructure tools.

Skills

Workflow automation

Systems integration

Python

Orchestration frameworks

LangChain/LangGraph

APIs & webhooks

LLM observability

Cross-functional collaboration

Troubleshooting

Multi-project management

Education

Bachelor's degree or equivalent

Tools

LangGraph

LangChain

LangFuse

LangSmith

API/webhook integrations

Vector retrieval

Job description

Modern Family Law is seeking an AI Workflow Engineer to design and implement AI-native legal workflows and automation systems. You will build the technical plumbing powering AI-enabled service delivery, orchestration, client automation, and integrations across CRMs, document tools, client portals, and business systems.

The role requires production-grade Python, strong systems thinking, and experience with orchestration frameworks, API integrations, and AI infrastructure.