• Work with stakeholders and participate in solution discovery, initial design, and estimation • Design scalable and maintainable architectures aligned with business goals • Take ownership of key architectural decisions and ensure long-term sustainability • Evaluate alternatives and document the rationale behind key architectural decisions • Guide engineering teams and ensure implementation aligns with architectural vision • Ensure implementation stays aligned with the architecture throughout all project iterations • Design solutions involving integrations, automation, and data flows, including AI components where appropriate • Ensure that AI usage is practical, controlled, and aligned with system constraints • Ensure scalability, performance, and reliability under growing load and complexity • Define measurable targets for quality attributes and track architecture fitness against them • Create reference implementations and support teams in solving complex technical challenges • Balance technical excellence with budget and schedule constraints, avoiding unnecessary over-engineering • Build consensus with engineering teams and communicate architectural decisions constructively • Ensure that solutions deliver measurable business value

• Understand how client organisations operate and identify opportunities where AI can create measurable business value. • Lead discovery sessions and solution design activities with business stakeholders. • Design practical AI operating models aligned to each organisation's objectives and ways of working. • Configure AI agents, knowledge structures and governance within PIPE44. • Guide organisations through onboarding, implementation and long-term AI adoption. • Build trusted relationships with business and operational stakeholders. • Measure AI adoption, solution quality and business outcomes, identifying opportunities for continuous improvement. • Partner with Embedded AI Engineers to ensure successful implementation and delivery. • Help shape the evolution of PIPE44 by bringing real-world client challenges and successful delivery patterns back into the platform.

• Understand how client organisations operate and identify opportunities where AI can create measurable business value. • Lead discovery sessions and solution design activities with business stakeholders. • Design practical AI operating models aligned to each organisation's objectives and ways of working. • Configure AI agents, knowledge structures and governance within PIPE44. • Guide organisations through onboarding, implementation and long-term AI adoption. • Build trusted relationships with business and operational stakeholders. • Measure AI adoption, solution quality and business outcomes, identifying opportunities for continuous improvement. • Partner with Embedded AI Engineers to ensure successful implementation and delivery. • Help shape the evolution of PIPE44 by bringing real-world client challenges and successful delivery patterns back into the platform.

• Lead the enterprise, integration, and API architecture for the implementation of the VeriChannel digital banking platform and VeriLink integration layer. • Conduct technical design reviews and lead Design Authority participation across multiple vendors and business units. • Produce and maintain comprehensive architecture, solution design, and security documentation. • Develop the future state roadmap and ensure alignment with Microsoft Azure cloud best practices. • Collaborate with product managers, developers, and third-party vendors in Agile delivery teams.