Job Description
An experienced Solution Architect with over 8 years of demonstrated expertise in designing and delivering advanced AI-driven solutions within corporate banking and financial services. Adept at leading end-to-end solution design and architecture for Agentic AI initiatives—spanning digital onboarding, fraud detection, transaction intelligence, and client service automation—while ensuring robust integration with core banking systems, regulatory compliance, and enterprise security standards.
Location: Singapore
Key Responsibilities
Solution Design & Architecture
- Lead the design of end-to-end Agentic AI solutions for corporate banking, including digital onboarding, fraud detection, transaction intelligence, and client service automation
- Develop comprehensive architecture blueprints covering data flows, system integrations, AI/ML components, and user interfaces
- Define technical requirements and specifications that balance innovation with banking industry constraints and compliance requirements
- Create reference architectures and design patterns for reusable Agentic AI components in banking contexts
Technical Leadership & Innovation
- Evaluate and recommend AI technologies, frameworks, and platforms suitable for banking environments
- Design architectures that ensure scalability, reliability, and performance of AI systems in production banking environments
- Lead proof-of-concept initiatives to validate architectural approaches and technology selections
- Stay abreast of emerging trends in Agentic AI, generative AI, and their application in financial services
Banking Domain Integration
- Architect solutions that seamlessly integrate with existing banking systems (core banking, payment systems, risk platforms, etc.)
- Ensure designs comply with banking regulations, data privacy laws, and security standards (PCI-DSS, SOC2, etc.)
- Design for auditability, explainability, and governance of AI decision-making in regulated environments
- Collaborate with banking subject matter experts to understand business processes and constraints
- Cross-Functional Collaboration
- Partner with Technical Program Managers to translate business requirements into technical designs
- Work closely with data scientists, ML engineers, and software developers to implement architectural designs
- Collaborate with security, compliance, and risk teams to ensure architectural compliance
- Engage with client technical teams to align solution architectures with their technology landscapes
Qualifications & Experience
Essential Requirements
- 8+ years in solution architecture roles, with minimum 5 years in banking/financial services technology
- Proven experience designing and implementing AI/ML solutions in production banking environments
- Deep understanding of corporate banking processes, products, and technology ecosystems
- Hands-on experience with AI technologies: machine learning platforms, LLMs, RAG architectures, autonomous agent frameworks
- Strong background in cloud architecture (AWS, Azure, GCP) and hybrid cloud deployments for regulated industries
Technical Expertise
- Banking Systems: Core banking platforms, payment systems (SWIFT, SEPA), trading systems, CRM
- AI/ML Technologies: TensorFlow, PyTorch, LangChain, AutoGPT, vector databases, MLOps tools
- Cloud & Infrastructure: Kubernetes, Docker, serverless architectures, API gateways, microservices
- Integration: REST/gRPC APIs, message queues (Kafka, RabbitMQ), ESB, event-driven architectures
- Security: OAuth, SAML, encryption, zero-trust architectures, banking security frameworks
- Banking Domain Knowledge
- Corporate banking products (cash management, trade finance, lending, treasury)
- Banking regulations (Basel III, PSD2, GDPR, local compliance requirements)
- Risk management frameworks and operational risk considerations
- Data governance and lineage requirements in financial services
Professional Skills
- Excellent communication skills with ability to articulate complex architectures to both technical and non-technical stakeholders
- Strong analytical and problem-solving abilities
- Leadership skills to influence technical direction without direct authority
- Ability to create architecture documentation, diagrams, and presentations
- Mentoring capability for junior architects and engineers
Certifications (Preferred)
- AWS/Azure/GCP Solution Architect certifications
- TOGAF or other architecture framework certifications
- CISSP, CISM, or other security certifications
- Banking/financial industry certifications
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
- Advanced degree in relevant discipline preferred
More Info
Key Skills
gRPC APIs
LLMs
machine learning platforms
banking security frameworks
zero-trust architectures
LangChain
autonomous agent frameworks
message queues
MLOps tools
AI technologies
AutoGPT
event-driven architectures
serverless architectures
vector databases
API gateways
RAG architectures


