Greenberg Traurig

Automation Engineer

Greenberg Traurig • $90K — $120K *
Phoenix, AZ 85032In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong proficiency in Python with frameworks like FastAPI and asyncio.
  • Experience designing and deploying AI agents and workflows in production.
  • Hands-on experience with agentic orchestration frameworks (e.g., LangChain, CrewAI).
  • Familiarity with LLM APIs and prompt engineering techniques.
  • Proficient in Microsoft Azure services and Power Platform tools.

Responsibilities

  • Develop and maintain automation solutions and backend services using Python.
  • Design and build AI agents for executing complex workflows.
  • Integrate Azure services and build workflows in the Power Platform.
  • Architect multi-agent systems for reasoning and planning tasks.
  • Create robust integrations across systems using APIs and Python services.

Benefits

  • Opportunity to work on cutting-edge automation and AI technology.
  • Collaborative environment with diverse business and legal teams.
  • Career growth potential in a fast-paced innovation team.
  • Contribution to a knowledge-sharing culture and best practices.
Full Job Description
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.

Key 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.


Qualifications

Skills & Competencies
  • 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.


Education & Prior Experience
  • 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


Technology
  • Experience with scripting languages (PowerShell, Python, JavaScript)
  • Familiarity with RESTful APIs and integration patterns
  • Understanding of enterprise security, compliance, and governance frameworks

About Greenberg Traurig

Greenberg Traurig is a global law firm with approximately 2200 attorneys and governmental affairs professionals in 40 locations in the United States, Latin America, Europe, Asia, and the Middle East. The firm was founded in Miami, Florida in 1967 by Larry J. Hoffman, Mel Greenberg and Robert H. Traurig. The firm has a broad range of practice areas, including corporate and securities, real estate, litigation, and tax. Greenberg Traurig is known for its work in the entertainment industry, and has represented clients such as Lady Gaga, Justin Timberlake, and Madonna. The firm has also been involved in high-profile cases, such as the defense of former Enron CEO Jeffrey Skilling.
Learn more about Greenberg Traurig
Size
2,200 employees
Industry
Legal & Accounting
* Ladders Estimates

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