Ai Automation Engineer Jobs in Decatur, GA (NOW HIRING)

Job Summary:
Greenberg Traurig (GT) is a global law firm with locations across the world, and they are seeking a highly skilled Automation Engineer to design, develop, and maintain intelligent automation and agentic AI solutions. The role focuses on enhancing client service delivery and improving internal efficiencies through automation technologies and AI orchestration systems.
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.
Qualifications:
Required:
• 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.
• 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.
• Experience working in a legal or professional services environment is a plus.
• Experience with scripting languages (PowerShell, Python, JavaScript).
• Familiarity with RESTful APIs and integration patterns.
• Understanding of enterprise security, compliance, and governance frameworks.
Company:
Greenberg Traurig, LLP has more than 3,100 lawyers across 51 locations in the United States, Europe, the Middle East, Latin America, and Asia. Founded in 1967, the company is headquartered in Albany, USA, with a team of 1001-5000 employees. The company is currently Late Stage.