Director, Solutions Architect Agent AI

Versant•Englewood Cliffs, NJ

16h•$190,000 - $230,000•Hybrid

About The Position

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. 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.

Requirements

10+ years of experience in software engineering, solutions architecture, platform engineering, enterprise architecture, or related technical leadership roles.
Experience designing, building, and deploying enterprise-scale cloud applications and distributed systems.
Experience working with modern AI platforms such as OpenAI, Amazon Bedrock, Google Gemini, Anthropic, Salesforce Agentforce, or comparable technologies.
Strong understanding of APIs, the Model Context Protocol, integration architectures, CI/CD practices, cloud-native development, observability, security principles, and identity management.
Experience partnering with technical and business stakeholders to define and deliver complex solutions.
Strong communication, presentation, and influencing skills with the ability to engage audiences at all levels of the organization.

Nice To Haves

Experience building, deploying, or scaling AI-powered applications or intelligent agent systems in production environments.
Experience with agent orchestration frameworks, retrieval systems, evaluation frameworks, MCP implementations, and tool integration patterns.
Experience developing engineering standards, platform services, and reusable developer capabilities.
Experience in Solutions Engineering, Forward Deployed Engineering, Applied AI, Developer Platforms, or related disciplines.
Experience collaborating with leading AI technology providers and emerging AI ecosystems.

Responsibilities

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.
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.
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.
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.
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 productivity, and business impact.
Drive continuous improvement of enterprise AI capabilities and operating models.