AI Tech Lead - Forward-Deployed Audit AI Agents

Crowe

South Bend (IN)

Hybrid

USD 102,000 - 204,000

Full time

5 days ago

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Job summary

Crowe is seeking an AI Tech Lead to drive design, development, and lifecycle management of AI agents that accelerate audit workflows. You will work hands-on with practitioners, building modular, scalable agent solutions and guiding a growing team of forward deployed engineers.

Ideal candidates bring 8+ years in software engineering, 5+ years Python, and strong AI experience with agent architectures. Hybrid work, strong collaboration, and measurable ROI are highlighted in the role.

Qualifications

8+ years of professional software engineering experience developing, implementing, and supporting enterprise applications and services.
5+ years of professional Python development experience, with a strong track record of building enterprise-grade applications and services.
Demonstrated ability to write clean, maintainable, modular, testable, and well-structured Python code designed for long-term support and scalability.

Responsibilities

Own the design, development, maintenance, and continuous improvement of AI agents and agent-assisted workflows that accelerate the execution of common tasks across Crowe's Audit practice.
Operate as a forward deployed engineer paired directly with an Audit SME - sitting with practitioners, learning the workflow firsthand, and designing the agent as it is built rather than from a static spec.
Remain hands-on in development: write, review, test, and maintain substantial Python codebases and the Skills, instructions, prompts, and supporting resources that define agent behavior.
Manage project scope, timelines, and stakeholder communication for the agents you own - balancing hands-on delivery with the planning, prioritization, and coordination expected of a senior technical lead.
Design and develop agents using a Skills-based architecture - modular, reusable capabilities that can be efficiently discovered, invoked, tested, maintained, and enhanced over time.
Serve as the technical authority for the agent layer, making key design and implementation decisions while partnering with architects and engineering teams to ensure alignment with the broader Audit technology ecosystem.
Implement and maintain monitoring, observability, and alerting for agents running in production, including trace-level visibility into agent reasoning and tool calls, to proactively detect, diagnose, and resolve issues.
Establish reusable engineering patterns and development practices that let a growing portfolio of agents be developed, evaluated, deployed, supported, and enhanced sustainably.
Build and maintain CI/CD pipelines in Azure DevOps to automate testing, evaluation, and deployment of agents across environments.
As the portfolio grows, lead a small team of forward deployed engineers that advance the roadmap per the audit stakeholders they serve.
Participate in the development and evolution of agent evaluation strategies, including representative test cases, automated evaluators, regression testing, quantifiable accuracy metrics, and processes for identifying and addressing changes in agent behavior.
Mentor engineers and provide technical leadership, including code and design reviews, as the agent portfolio and supporting team grow.
Promote collaboration across the Audit BU and the broader Studio to surface opportunities, share reusable patterns, and avoid duplicated build effort.