
AI Technical Lead
NEW YORK, NYJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
Crowe’s Studio team seeks a hands-on AI technical lead to design, develop, and manage AI agents that accelerate Audit services. The role works directly with Audit practitioners to understand workflows and build agents alongside subject matter experts, owning delivery end to end. It establishes reusable technical patterns and engineering practices, with the opportunity to grow into leading a small team as the agent portfolio expands.
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Skills
Full job description
Your Journey at Crowe Starts Here:At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.Job Description:About Crowe AIEverything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, generative AI, modern architectures, and industry experts to create AI-powered solutions that transform the way we do business.Our world-class AI and ML professionals give Crowe the ability to capture and harness the power of data. A combination of AI and Machine Learning Engineers and AI Platform and Infrastructure Engineers create and deploy AI functionality to solve complex problems. We focus on building scalable AI solutions, based on rigorous data exploration, validation via proof-of-concept buildout, and close partnership with subject matter experts across business areas. The future is powered by AI, come build it with us. Role OverviewCrowe's Studio team is seeking an AI Tech Lead to serve as a hands-on technical leader for the design, development, and lifecycle management of AI agents that accelerate the delivery of Crowe's Audit services. This role is built around Crowe's forward deployed engineer (FDE) model: rather than sitting above a project as a traditional program manager, this person sits with Audit practitioners, learns the workflow, designs the agent as it is built, and owns the outcome end to end. The goal is to establish the technical patterns, Skills-based architecture, and engineering practices needed to support a growing portfolio of agents. As that portfolio grows, the role is expected to grow into leading a small team as an engineering manager with full-stack engineers who each own a slice of the roadmap. Key ResponsibilitiesDelivery of Audit AI Agents * 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.Build and Scale the Engineering Capability * Establish reusable engineering patterns and develop
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