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About the Role

We are seeking a highly skilled Automation Engineer to design, develop, and maintain intelligent automation and agentic AI solutions that streamline operations, enhance client service delivery, and improve internal efficiencies. This role requires strong hands-on Python development experience, expertise in designing AI agents and agentic orchestration systems, and proficiency with Microsoft Azure and Power Platform technologies, as well as third-party automation tools.

Responsibilities

Develop robust automation solutions and backend services primarily using Python, including asynchronous workflows, data processing pipelines, and API integrations.
Design, build, and maintain AI agents and agentic orchestration systems that autonomously execute multi-step business and legal workflows.
Build and maintain automation workflows using Microsoft Azure services (Logic Apps, Functions, Service Bus, Data Factory).
Develop solutions within the Power Platform environment (Power Automate, Power Apps, Dataverse).
Integrate third-party RPA/automation platforms to extend automation capabilities.
Architect and implement multi-agent systems capable of reasoning, planning, and tool use to accomplish complex objectives.
Leverage agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Microsoft Agent Framework, or similar) to orchestrate LLM-powered workflows.
Design and implement tool-calling, function-calling, and MCP (Model Context Protocol) integrations to connect agents with enterprise systems.
Build durable, observable, and recoverable agent workflows with appropriate guardrails, evaluation, and human-in-the-loop checkpoints.
Implement memory, retrieval (RAG), and context management strategies to support long-running agentic processes.
Create robust integrations across diverse systems using APIs, Python-based services, scripting (e.g., PowerShell), and orchestration tools.
Ensure seamless data flow and process automation across legal, financial, and operational systems.
Containerize and deploy Python services (Docker, Azure Container Apps, Kubernetes) following modern DevOps practices.
Work closely with business stakeholders, legal teams, and IT to understand requirements and deliver impactful automation and agentic solutions.
Translate business needs into technical specifications and scalable automation designs.
Partner with the AI Application Development team to integrate agents into firm platforms such as Chat @ GT and the Client 360 Tool.
Ensure all solutions comply with firm-wide security, compliance, and governance standards, including responsible AI practices.
Monitor and optimize automation and agent performance, proactively identifying opportunities for improvement.
Implement logging, tracing, and evaluation frameworks (e.g., LangSmith, Azure AI Foundry, OpenTelemetry) for agent observability.
Maintain documentation and contribute to a knowledge-sharing culture.

Requirements

Strong proficiency in Python, including modern frameworks and libraries (e.g., FastAPI, Pydantic, asyncio, requests/httpx).
Demonstrated experience designing and deploying AI agents and agentic workflows in production or near-production environments.
Hands-on experience with agentic orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent).
Familiarity with LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.), prompt engineering, and structured output techniques.
Strong proficiency with Microsoft Azure (Logic Apps, Functions, Service Bus, Data Factory).
Strong proficiency with Power Platform (Power Automate, Power Apps, Dataverse).
Strong proficiency with RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism).
Ability to successfully adapt to changing priorities and work demands.
Ability to work under pressure to meet strict deadlines and effectively prioritize multiple tasks.
Experience working in a fast-paced law firm environment with diverse needs.
Excellent problem-solving, communication, and collaboration skills.
Experience with scripting languages (PowerShell, Python, JavaScript).
Familiarity with RESTful APIs and integration patterns.
Understanding of enterprise security, compliance, and governance frameworks.

Skills

Python
AI agents
Agentic orchestration
Microsoft Azure
Power Platform
Third-party automation tools
Asynchronous workflows
Data processing pipelines
API integrations
Multi-agent systems
LangChain
LangGraph
LlamaIndex
Semantic Kernel
AutoGen
CrewAI
Microsoft Agent Framework
LLM APIs
Prompt engineering
RPA tools
Docker
Azure Container Apps
Kubernetes
DevOps
PowerShell
JavaScript
RESTful APIs
Enterprise security
Compliance
Governance

Location

U.S. office locations

Work Type

Full-time

Experience Level

3–5 years of hands-on experience in automation engineering or a related field

Education Level

Bachelor's degree in Computer Science, Information Technology, or a related field

Benefits

Competitive compensation
Excellent benefits package

About the Company

Greenberg Traurig (GT) is a global law firm with locations across the world in 15 countries.
GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individual’s race, sex, or other protected characteristics and to the principles of non-discrimination on any protected basis.

Equal Opportunity

GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individual’s race, sex, or other protected characteristics and to the principles of non-discrimination on any protected basis.