Senior AI Engineer - Production Agent Architect (Azure)

Pillsbury Winthrop Shaw Pittman LLP; Nashville (TN); On-site; USD 170,000 - 200,000; Full time

Job summary

Pillsbury Winthrop Shaw Pittman LLP in Nashville, TN is seeking a Senior AI Engineer to design, deploy, and maintain production AI agents and agentic workflows that support attorneys and Firmwide teams, primarily using Azure Databricks and Azure AI Studio. You will collaborate with attorneys and practice groups to define requirements and automation boundaries that include human review.

You will build and optimize workflows with n8n and LangGraph, create prompts and RAG strategies, and ensure

Qualifications

• Hands-on experience designing, deploying, and supporting production AI agents, agentic workflows, or tool-enabled LLM applications.
• Strong Python and SQL skills, APIs, automated testing, version control, and maintainable software integration practices.
• Hands-on experience with LangGraph or a comparable framework for stateful, multi-step AI agents.
• Hands-on experience with n8n or a comparable workflow automation platform, including building and supporting solutions that combine workflow automation with custom agent services.
• Experience delivering AI solutions using Azure Databricks, Azure AI Studio, and/or native Microsoft Azure services, including model access, application deployment, and integration with governed enterprise data.
• Strong understanding of agent architecture and workflow design, including tool schemas, prompt and context management, structured outputs, state transitions, memory, checkpointing, stopping conditions, and human review.
• Experience designing integrations using APIs, webhooks, and asynchronous execution, including authentication, rate limits, retries, error handling, and idempotency.
• Experience implementing RAG and governed data access, including retrieval filtering, source permissions, citations, and validation of retrieved information.
• Experience developing evaluation datasets, automated tests, and regression testing using agent traces and failure analysis.
• Understanding of AI application security and reliability practices, including authorization, credential protection, sensitive information handling, constrained tool access, recoverable workflows, and appropriate human controls.
• Experience with production software delivery practices including versioning, environment configuration, automated testing, observability, monitoring, and rollback procedures.
• Ability to translate ambiguous or complex business requirements into practical technical solutions and communicate considerations and tradeoffs to both technical and non-technical stakeholders.
• Demonstrated ability to mentor and train engineers, conduct effective code reviews, and contribute to technical standards and best practices while maintaining significant hands-on engineering work.

Responsibilities

• Collaborate with attorneys, practice groups, and Firmwide teams to understand workflows and define requirements with automation boundaries.
• Design, build, deploy, and maintain production AI agents and agentic workflows using n8n, LangGraph, Python, APIs, and related tech.
• Develop n8n workflows with triggers, webhooks, AI Agent nodes, and secure credential management.
• Build LangGraph workflows with tool calls, routing, checkpoints, and human approval steps.
• Create prompts, context assembly, structured outputs, and retrieval-augmented generation strategies.
• Develop reusable agent tools, APIs, and integrations across enterprise systems.
• Partner with Data Architect to implement governed data access, persistence, and memory with controls.
• Develop evaluation datasets, automated tests, and regression testing procedures.
• Analyze agent traces and tool calls to troubleshoot and improve performance.
• Apply security controls including input/output validation, authorization, and credential protection.
• Test for risks like prompt injection, tool misuse, and data leakage with human review where appropriate.
• Support DevOps in deployment, environment configuration, monitoring, observability, and rollback across Azure environments.
• Maintain production performance and mentor AI Engineers through guidance and reviews.
• Establish and promote engineering best practices for agent architecture and production delivery.

Skills

Python

SQL

LangGraph

n8n

Azure Databricks

Azure AI Studio

Azure

RAG

MCP

LangSmith

MLflow

Tools

n8n

LangGraph

Azure Databricks

Azure AI Studio

Azure

MLflow

LangSmith

MCP

Job description

Pillsbury Winthrop Shaw Pittman LLP in Nashville, TN is seeking a Senior AI Engineer to design, deploy, and maintain production AI agents and agentic workflows that support attorneys and Firmwide teams, primarily using Azure Databricks and Azure AI Studio. You will collaborate with attorneys and practice groups to define requirements and automation boundaries that include human review.

You will build and optimize workflows with n8n and LangGraph, create prompts and RAG strategies, and ensure