Director​/Managing Director, AI Software Development

Job Description

As Cohn Reznick grows, so do our career opportunities. As one of the nation's top professional services firms, Cohn Reznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do! Cohn Reznick helps organizations optimize performance, manage risk, and maximize value through Cohn Reznick LLP (assurance services) and Cohn Reznick Advisory LLC (advisory and tax services).

Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients' unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia.

We currently have an exciting career opportunity for a Director/Managing Director, AI Software Development to support our Global Digital & Cyber Security practice.

Cohn Reznick is a hybrid firm and most of our professionals are located within a commutable distance to one of our offices. This position is considered remote which means it does not require job duties be performed within proximity of a Cohn Reznick office location. However, as a remote employee, you may be required to be present at a Cohn Reznick office with scheduled notice for client work, team meetings, or trainings.

The Director / Managing Director, AI Software Development is a senior technology leader responsible for establishing and leading Cohn Reznick's software engineering capability. This position defines the vision, strategy, operating model, talent plan, architecture, and delivery approach for AI-enabled products, platforms, and solutions across the firm. The position is accountable for building a high-performing AI-native software development organization capable of delivering proprietary technology assets that create sustainable competitive advantage.

The leader oversees the design, development, deployment, and operation of AI-powered applications, intelligent automation solutions, agentic workflows, and client-facing digital products.

This is not a traditional application-development leadership role. The successful candidate must have personally built and scaled a native AI software team from inception through production delivery, including recruiting specialized talent, establishing engineering and governance standards, and delivering secure applications with measurable business impact.

At Cohn Reznick, we're united by a common mission to create opportunity, value, and trust for our clients, our people, and our communities. Whether it's working alongside your peers to solve a client challenge, or volunteering together at the local food bank, there are so many ways to find your "why" at the firm.

We believe it's important to balance work with everyday life - and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.

Responsibilities include but not limited to: AI strategy and portfolio leadership Define and execute a multi-year AI software engineering strategy aligned with firm business and technology objectives. Establish the vision, roadmap, investment priorities, and operating model for the GDC AI development capability. Identify opportunities to create proprietary software assets that improve client service, quality, efficiency, growth, and professional experience. Advise executive leaders and governance forums on opportunities, investments, risks, dependencies, and portfolio performance.

Native AI organization building Recruit, organize, develop, and retain a multidisciplinary team of AI engineers, software engineers, machine learning engineers, technical leads, and architects. Define job architecture, role expectations, career paths, leadership spans, technical communities, and talent-development practices for the AI engineering function. Create an engineering culture centered on innovation, responsible experimentation, accountability, inclusion, collaboration, and disciplined production delivery. Build a sustainable talent pipeline and develop future engineering leaders.

Product and solution delivery Lead AI-enabled products, platforms, and solutions from discovery and architecture through engineering, release, adoption,…