Principal Technology Architect – AI Transformation Programs

Required Qualifications:

• At least 15 years of overall technology experience.
• At least 5 years of experience in Architecture or CTO Advisory roles
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Preferred Qualifications:

• Experience leading large-scale enterprise transformation programs within Banking, Financial Services, Insurance, Capital Markets, or Payments.
• Proven experience driving Cloud, Data, AI, Digital Engineering, and/or technology modernization initiatives in complex enterprise environments.
• Strong banking and financial services domain knowledge, including banking and payments ecosystems.
• Experience leading or supporting core banking modernization, including transformation of legacy platforms and technology capabilities.
• Strong understanding of digital channels and customer-facing platforms, including modernization of digital banking experiences.
• Experience applying FinOps principles to support cloud financial management, cost optimization, and technology efficiency.
• Demonstrated experience with AI-enabled SDLC transformation, including the adoption of AI capabilities across software engineering and delivery practices.
• Experience implementing or operating within a Product Operating Model and enabling product-centric technology delivery.
• Ability to translate business and technology strategies into enterprise architecture, transformation roadmaps, and modernization priorities.
• Demonstrated ability to provide strategic technology and architectural guidance to senior stakeholders and influence decisions across business and technology teams.
• Ability to balance innovation, modernization, operational resilience, governance, and business outcomes when shaping enterprise technology strategy.

Good to have

• TOGAF or equivalent Enterprise Architecture certification
• Cloud architecture certification, such as Microsoft Azure Solutions Architect Expert, AWS Solutions Architect Professional, or equivalent
• AI/ML or Generative AI certification from a recognized technology provider
• Kubernetes / Cloud Native certification
• Site Reliability Engineering (SRE) or DevOps certification
• Additional certifications in cloud, AI, platform engineering, or emerging technologies are considered an asset