Automation Engineer

Greenberg Traurig•Atlanta, GA

3d•Onsite

About The Position

Greenberg Traurig (GT), a global law firm with locations across the world in 15 countries, has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package, along with the opportunity to work within an innovative and collaborative environment. Join our Innovation Team as an Automation Engineer in one of our various U.S. office locations. Position Summary 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.

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)
Power Platform (Power Automate, Power Apps, Dataverse)
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.
Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 3–5 years of hands-on experience in automation engineering or a related field
Demonstrable experience building Python-based automation, integrations, or AI/agentic systems.
Technology Experience with scripting languages (PowerShell, Python, JavaScript)
Familiarity with RESTful APIs and integration patterns
Understanding of enterprise security, compliance, and governance frameworks

Nice To Haves

Experience working in a legal or professional services environment is a plus

Responsibilities

Design & Development: 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.
Agentic AI & Orchestration: 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.
Integration & Orchestration: 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.
Collaboration & Delivery: 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.
Governance & Optimization: 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.