- 15 years of overall technology experience
- 5 years in Architecture or CTO Advisory roles
- Experience leading enterprise transformation programs in Banking Financial Services Insurance Capital Markets or Payments
- Experience driving Cloud Data AI Digital Engineering or Modernization initiatives
Key Responsibilities:
- Key Responsibilities
- AI Transformation Strategy
- Define enterprise AI transformation vision roadmap and target state architecture
- Identify AI use cases and transformation opportunities across business and technology domains
- Develop AI adoption frameworks governance models and operating structures
- Drive AI first engineering practices across delivery organizations
- Enterprise Architecture
- Define business application data technology and security architecture blueprints
- Develop modernization roadmaps for legacy platforms
- Drive architecture governance and design assurance
- Establish architecture standards reference architectures and reusable patterns
- AI Data Platforms
- Architect enterprise AI platforms leveraging LLMs Agentic AI RAG Knowledge Graphs and AI orchestration frameworks
- Define AI operating models model lifecycle management and responsible AI controls
- Design AI ready data architectures including Data Fabric Lakehouse and Knowledge Platforms
- Drive integration of enterprise knowledge with AI ecosystems
- Engineering Transformation
- Drive adoption of AI assisted software engineering
- Establish platform engineering and developer productivity initiatives
- Lead modernization using cloud native and event driven architectures
- Promote reliability observability resilience and security by design practices
- Client Advisory Consulting
- Partner with CTOs and business executives on transformation strategy
- Conduct maturity assessments and capability gap analyses
- Develop business cases value realization frameworks and investment roadmaps
- Lead executive workshops and transformation steering committees
- Innovation Thought Leadership
- Create AI transformation assets accelerators frameworks and industry solutions
- Mentor architects and engineering leaders
- Represent the organization in client forums and industry events
- Publish reusable assets and best practices
Technical Requirements:
- Must Have Skills
- AI GenAI
- Generative AI and LLM architectures
- Agentic AI systems
- RAG architectures
- AI orchestration frameworks
- Prompt engineering and evaluation frameworks
- AI governance and Responsible AI
- Enterprise Architecture
- TOGAF or equivalent Enterprise Architecture framework
- Business and Technology Architecture
- Solution Architecture
- Architecture governance
- Technology strategy and roadmapping
- Cloud Engineering
- Azure AWS GCP
- Kubernetes and Container ecosystems
- DevSecOps and Platform Engineering
- API Event Driven and Microservices Architecture
- Infrastructure as Code
- Reliability Operations
- SRE
- Observability Platforms
- Resilience Engineering
- Performance Engineering
- Operational Excellence
Additional Responsibilities:
- Preferred Skills
- Banking Payments domain expertise
- Digital Channels and Customer Platforms
- Core Banking modernization
- FinOps
- Quantum of Experience in AI enabled SDLC transformation
- Product Operating Model experience
- - Certifications Preferred
- TOGAF
- Azure Solutions Architect Expert
- Azure AI Engineer Associate
- AWS Solutions Architect Skilled
- Cloud Architect Certifications
- AI ML Certifications
- SRE Foundation
- Kubernetes Certifications
- Anthropic Certifications
- - Success Metrics
- The candidate will be measured on
- AI transformation deals influenced and won
- AI use cases industrialized
- Reusable AI assets and accelerators created
- Client stakeholder satisfaction
- Architecture governance effectiveness
- Productivity gains through AI adoption
- Talent development and architect mentoring
- Revenue growth from transformation programs