AI Workflow Architect & Automation Engineer – Remote-Eligible

Modern Family Law

Savannah (GA)

On-site

USD 140,000 - 210,000

Full time

2 days ago

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Benefits offered by this job

Health Care Plan (Medical)

Retirement Plan (401k)

Paid Time Off

Life Insurance

Job summary

Modern Family Law in Savannah, GA seeks an AI Workflow Engineer / Automation Architect to design and implement AI-native legal workflows and automation systems. You will build the technical plumbing powering AI-enabled service delivery and orchestrate complex integrations across CRM, document systems, client portals, and internal tools.

The role requires production-grade Python, orchestration frameworks (LangGraph, LangChain), and strong systems thinking.

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 with testing, code reviews, version control, and CI/CD.
Design, build, and optimize AI agent workflows using orchestration frameworks (LangGraph, LangChain), vector retrieval, LLM Observability platforms (LangFuse, LangSmith), and API/webhook integrations.
Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration.
Ability to work cross-functionally with technical and non-technical stakeholders.

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.