Automation Engineer

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.

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.

• 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., Lang Chain, Lang Graph, Llama Index, Semantic Kernel, Auto Gen, 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., Power Shell), 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 Dev Ops 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., Lang Smith, Azure AI Foundry, Open Telemetry) for agent observability.
• Maintain documentation and contribute to a knowledge‑sharing culture.

• 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 (Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, 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.,…