Director, Solutions Architect Agent AI

Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description Versant is seeking a Director, AI Solutions Architecture to accelerate the adoption of AI across the enterprise. This role serves as a strategic technical leader, helping teams translate emerging AI capabilities into scalable business solutions that drive measurable impact.

Reporting to the VP of Innovation and Emerging Tech, this role will partner closely with Engineering, Product, Cybersecurity, Resilience, Data, and business stakeholders to establish architectural standards, shared platform capabilities, and reusable services that enable teams to safely and effectively build AI-powered applications and intelligent agents.

This position combines elements of enterprise architecture, platform engineering, applied AI, and technical strategy. The ideal candidate is equally comfortable engaging with senior leaders on enterprise technology strategy, partnering with engineers on implementation details, and rapidly evaluating new AI technologies and capabilities.

Why This Role Matters AI is becoming a foundational capability across Versant’s business and technology ecosystem. This role will help define how AI solutions are designed, governed, and scaled across the enterprise while accelerating innovation, improving delivery efficiency, and ensuring AI investments deliver meaningful business value.

This is a hybrid position based in New Jersey and requires regular in-office collaboration with colleagues and stakeholders.

What You’ll Do Enterprise AI Architecture

• Define and evolve enterprise architecture standards, reference patterns, and best practices for AI-powered applications and intelligent agent systems.
• Establish scalable approaches for orchestration, retrieval, workflow automation, tool integration, memory management, planning, and human oversight.
• Partner with Engineering, Cybersecurity, and Resilience teams to establish secure development and deployment standards for AI solutions.
• Ensure architectural decisions balance innovation, scalability, security, governance, and operational excellence.

Shared AI Platform Enablement

• Lead the development and adoption of reusable AI platform capabilities, frameworks, templates, and developer tooling.
• Partner with Cloud Operations and Engineering teams to establish deployment, monitoring, evaluation, governance, and operational support patterns.
• Define common services for model access, prompt management, retrieval, observability, policy enforcement, and cost management.
• Drive adoption of shared AI capabilities across business, technology, and operational teams.

Strategic Solution Leadership

• Partner directly with stakeholders across Versant to identify opportunities where AI can create business value.
• Guide teams through technical discovery, architecture reviews, solution design, and implementation planning.
• Help translate complex or ambiguous business challenges into scalable and sustainable technology solutions.
• Provide hands-on leadership for strategic enterprise initiatives and high-impact use cases.

AI Innovation & Technology Strategy

• Evaluate emerging AI platforms, models, frameworks, and technologies.
• Build strong relationships with strategic technology partners and industry leaders.
• Recommend platform investments, architectural improvements, and new capabilities that support enterprise objectives.
• Help ensure Versant’s AI strategy remains aligned with industry advancements and business priorities.

Platform Roadmap & Adoption

• Partner with Product and Engineering leaders to shape the roadmap for enterprise AI services.
• Identify opportunities to create reusable capabilities that improve speed, consistency, and quality across teams.
• Establish metrics that measure adoption, reliability, developer productiv…