Remote Director of AI Software Development & Strategy

CohnReznick; Denver (CO); Remote; USD 192.000 - 264.000; Vollzeit

Zusammenfassung

CohnReznick is seeking a Director/Managing Director, AI Software Development to lead the AI software engineering capability for the Global Digital & CyberSecurity practice. This remote role supports building an AI-native organization, defining strategy, architecture, and delivery models across the firm.

You will recruit, guide, and govern AI engineering efforts, partnering with product and business leaders to deliver secure, production-grade AI assets with measurable business impact.

Qualifikationen

• Fifteen or more years of progressive software engineering and technology leadership experience.
• Seven or more years leading software development organizations, including leaders of engineering teams.
• Five or more years delivering AI-enabled applications, machine learning platforms, or generative AI products.
• Demonstrated success creating and scaling a native AI software development organization.

Aufgaben

• Define and execute a multi-year AI software engineering strategy aligned with firm objectives.
• Recruit, organize, develop, and retain a multidisciplinary AI team.
• Lead AI-enabled products from discovery through operation and improvement.
• Establish development standards, patterns for LLM integration, and secure lifecycle practices.
• Embed security, privacy, and governance throughout the lifecycle.

Kenntnisse

AI strategy

Team leadership

Software architecture

Cloud-native

DevSecOps

Governance

Stakeholder management

Ausbildung

Bachelor’s degree in Computer Science or related field

Advanced degree in Computer Science/Engineering/AI

Tools

Microsoft Azure AI

Azure OpenAI

Microsoft Copilot

Jobbeschreibung

CohnReznick is seeking a Director/Managing Director, AI Software Development to lead the AI software engineering capability for the Global Digital & CyberSecurity practice. This remote role supports building an AI-native organization, defining strategy, architecture, and delivery models across the firm.

You will recruit, guide, and govern AI engineering efforts, partnering with product and business leaders to deliver secure, production-grade AI assets with measurable business impact.