AI Workflow Engineer – Automation Architect

Modern Family Law

AI Workflow Engineer / Automation Architect building AI-native legal workflows for Modern Family Law. Integrating agents, CRMs, documents, portals, and operational systems for scalable client-centered legal services.

Posted 8/4/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-enabled workflow orchestration systems, integrating various platforms, and optimizing automation processes. Proficient in Python programming, API integrations, and managing complex projects while ensuring compliance and operational effectiveness.

Highest-signal resume keywords

Workflow AutomationSystems IntegrationPython ProgrammingAPI IntegrationsAI Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Workflow AutomationSystems IntegrationPython ProgrammingAPI IntegrationsEvent-Driven SystemsAutomation ArchitectureOrchestration FrameworksTesting PracticesCI/CDTroubleshooting

Soft Skills

Analytical AbilitiesOrganizational SkillsCommunication SkillsCross-Functional CollaborationProject Management

Tools & Technologies

LangGraphLangChainLangFuseLangSmithCloud InfrastructureAutomation PlatformsAI Infrastructure FrameworksDocument Automation SystemsClient PortalsPayment Systems

Industry Keywords

AI WorkflowsCompliance PlanningData SecurityAuditabilityLegal ProcessesOperational ScalabilityConversational SystemsAgent ArchitecturesVector DatabasesRetrieval Systems

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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 supporting legal intake, document generation, communications, workflow routing, and escalation protocols
Translate legal workflows into scalable technical architectures with Legal Knowledge Engineers and Product Managers
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

Requirements

What you’ll need

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
Experience designing, building, and optimizing AI agent workflows using orchestration frameworks such as LangGraph and LangChain
Experience with vector retrieval and LLM observability platforms such as LangFuse/LangSmith
Experience with API and webhook integrations
Strong understanding of APIs, workflow orchestration, event-driven systems, and systems integration
Experience with automation platforms, orchestration tools, or AI infrastructure frameworks
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
Preferred: familiarity with OpenAI, Anthropic, LlamaIndex, vector databases, retrieval systems, workflow automation platforms, cloud infrastructure, AI governance, auditability, data security, confidentiality, conversational systems, or agent architectures
Ability to occasionally work evenings or adjusted hours as needed for onboarding, offboarding, or time-sensitive operational needs

Benefits

Comp & perks

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Work From Anywhere -- eligible after 6 months
Performance incentives
Comprehensive benefits