AI Tech Lead - Audit AI Agents & Platform

Crowe; Fort Wayne (IN); Hybrid; USD 102,000 - 204,000; Full time

Job summary

Crowe is seeking an AI Tech Lead to act as a hands‑on engineering leader for designing, developing, and deploying AI agents that accelerate Crowe's Audit services. You will work directly with Audit practitioners, shape the agent roadmap, and own outcomes end‑to‑end.

The role involves leading a portfolio of agents, mentoring engineers, and building scalable patterns and CI/CD pipelines in Azure DevOps. Strong Python, cloud, and AI platform experience are required.

Qualifications

• ,

Responsibilities

• Own the design, development, maintenance, and continuous improvement of AI agents and agent‑assisted workflows that accelerate Audit tasks.
• Partner with Audit SMEs, learning the workflow to design agents built from a static spec.
• Write, review, test, and maintain substantial Python code for agent behavior and supporting resources.
• Manage scope, timelines, and stakeholder communication for assigned agents.
• Design and develop modular, reusable agent capabilities in a Skills‑based architecture.
• Serve as technical authority for the agent layer and align with Audit tech ecosystem.
• Implement monitoring, observability, and alerting for agents in production.

Skills

8+ years software engineering

5+ years Python

clean maintainable Python code

AI agents design

Skills-based architecture

AI platforms deployment

project management

technical leadership

Azure DevOps

Azure

Git

AWS

GCP

Microsoft .NET stack

SQL Server

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Azure DevOps

Azure

AWS

GCP

Git

SQL Server

Microsoft .NET stack

Job description

Crowe is seeking an AI Tech Lead to act as a hands‑on engineering leader for designing, developing, and deploying AI agents that accelerate Crowe's Audit services. You will work directly with Audit practitioners, shape the agent roadmap, and own outcomes end‑to‑end.

The role involves leading a portfolio of agents, mentoring engineers, and building scalable patterns and CI/CD pipelines in Azure DevOps. Strong Python, cloud, and AI platform experience are required.