Description

Key Responsibilities

Strategic Advisory & Client Engagement 

 

• Partner with senior technology leaders to define AI adoption roadmaps, digital transformation strategies, and technology investment priorities.
• Facilitate co-design workshops and architecture sessions and translate business goals into actionable technology plans.
• Build trusted client relationships, communicating architecture decisions and trade-offs clearly to both executive and technical audiences. 
  
   

Program & Solution Architecture 

 

• Lead architecture workstreams within large-scale transformation programs, ensuring consistency across solution components and delivery squads.
• Develop architecture artefacts including reference architectures, solution blueprints, integration designs, and technology decisions.
• Apply enterprise architecture principles across business, data, application, and technology domains to define target-state architectures and support business case development.
• Define and maintain enterprise architecture roadmaps, aligning technology evolution with business strategy and program delivery milestones. 
  
   

AI & Platform Engineering 

 

• Design and support delivery of AI-enabled solutions including generative AI, intelligent automation, and predictive analytics.
• Contribute to platform engineering initiatives covering cloud-native infrastructure, developer platforms, CI/CD, and containerisation.
• Align AI/ML workloads with appropriate infrastructure, tooling, and MLOps practices and promote responsible AI principles. 
  
   

Governance & Team Development 

 

• Establish architecture governance practices including design principles, review checkpoints, and decision frameworks.
• Mentor junior architects and engineers and contribute to practice development through knowledge sharing and reusable assets. 
  
   

Required Skills & Experience

 

• 12+ years in technology/solutions architecture, with 2+ years in program architecture, platform engineering, or AI-led transformation.
• Hands-on experience with AI/ML domains including generative AI, intelligent automation, and practical solution design.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and cloud-native architecture patterns.
• Familiarity with platform engineering covering Kubernetes, CI/CD pipelines, and developer experience platforms.
• Working knowledge of enterprise architecture frameworks (e.g., TOGAF) and delivery methodologies (Agile, SAFe).
• Strong communication skills with the ability to produce clear architecture documentation and engage executive stakeholders.
• Cross-industry exposure across two or more of the following verticals: Banking, Financial Services, Utilities or Retail.
• Prior experience in a technology consulting or advisory firm is desirable. 
  
   

Minimum Qualifications

 

• Bachelor's degree in Engineering, Computer Science, or related field; or equivalent demonstrated experience.
• Professional certifications in cloud (AWS, Azure, GCP) or architecture (TOGAF, CASP) are advantageous.
• Ability to communicate clearly in English across executive and technical audiences

Key Skills

Education

Bachelor's degree