AI Architect

At One Stream, we're on a mission to empower every Finance organization and professional to exceed their potential. Our global teams span continents, cultures, and time zones, united by a shared purpose as we build the operating system for modern Finance and help organizations move with greater speed, clarity, and confidence.

That mission comes to life through our people. Behind every innovation, customer success, and milestone are talented people working together to make a difference. That's why we're looking for people who are bold enough to think big, authentic in how they lead and collaborate, curious about what's possible, and committed to delivering results.

Want a closer look before you apply? Explore our Careers site to learn more about our people, culture, and benefits.

Reporting to the Senior Director of Enterprise Enablement, the AI Architect will help One Stream responsibly adopt and scale artificial intelligence by identifying high‑value business opportunities, translating them into practical architecture and transformation plans, and aligning delivery with enterprise architecture, security, privacy, data and responsible AI expectations. The role connects business process redesign, enterprise architecture, solution design, governance alignment and adoption enablement.

This ensures AI initiatives move beyond isolated experimentation and deliver measurable productivity, automation, decision‑support and process improvement outcomes. The AI Architect will coordinate progress from initial idea through assessment, pilot and scaled adoption, while formal policy ownership, approvals, funding decisions and implementation accountability remain with the appropriate teams.

• Identify opportunities across business functions where AI can improve productivity, efficiency, decision quality, customer or employee experience, and business outcomes.
• Create and maintain a structured inventory of AI opportunities, including business ownership, value hypothesis, users, dependencies, risks, readiness and status.
• Develop and apply intake, scoring and prioritisation methods that consider impact, effort, data readiness, governance complexity, adoption complexity and ownership clarity.
• Partner with business and technology leaders to shape a sequenced AI opportunity roadmap aligned to strategic priorities and enterprise capabilities.

• Design end‑to‑end AI solution approaches spanning enterprise applications, data sources, integrations, workflows, user experiences and measurable outcomes.
• Define reusable architecture patterns for AI agents, copilots (e.g. Git Hub Copilot, Claude, and similar assistants), workflow automation, knowledge discovery, decision support, orchestration and human‑in‑the‑loop controls.
• Document architecture decisions, integration requirements, data dependencies, security considerations, ownership, support models and implementation trade‑offs.
• Partner with application owners, data teams and platform teams to embed approved AI capabilities into existing systems and business processes.

• Evaluate processes for automation, augmentation, knowledge retrieval, decision support and workflow optimisation opportunities.
• Conduct practical AI readiness assessments across departments, processes and business capabilities.
• Translate broad business challenges into clearly scoped transformation opportunities with defined outcomes, users, constraints, dependencies and adoption needs.
• Create transformation blueprints connecting process improvement, people impacts, application dependencies, data readiness, governance requirements and value…