AI Solutions Architecture Manager

You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function, a small, high-impact team that is embedding AI and GenAI into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. 

You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations. You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. 

If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff) 

• Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. 

• Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. 

• Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. 

• Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way. 

• Act as a trusted advisor to senior and executive stakeholders, turning technical possibilities into clear business value and measurable KPIs and ROI for AI initiatives. 

• Champion responsible AI, governance, and security — ensuring privacy, fairness, and regulatory compliance, and driving AI and data literacy through enablement, documentation, and workshops. 

These are the essentials you’ll need to get an interview 

• Proven “player-coach” experience: you still build hands-on (coding, standing up prototypes/reference implementations, unblocking hard problems) rather than managing AI delivery from a distance.