Solution Architect / Platform Solution Architect

Job Description:

• As a Platform Solution Architect you will own the end to end solution architecture for the platform ensuring all modules are built on a scalable secure cloud native AI governed and reusable platform foundation
• The architect will align product roadmap platform engineering data architecture AI services security controls integration strategy deployment models and non functional requirements
• You will work with cloud engineers DevOps engineers backend engineers data engineers AI engineers QA and security teams to enable flexible platform architecture across development test demo pilot and production like environments to make it compatible with client platforms

Key Responsibilities:

• Define the overall Platform target architecture
• Own architecture decisions across application data AI integration security and infrastructure layers
• Design SaaS and client VPC deployment models
• Define module integration patterns and shared platform capabilities
• Ensure SAR CTR Regulatory Reporting Controls RegIntel Audit Evidence and AI Governance are built on reusable foundations
• Define tenant isolation module entitlement and configuration architecture
• Review API contracts data models audit events and integration patterns
• Partner with DevOps on Azure architecture environments CI CD and deployment patterns
• Partner with Security on RBAC encryption privacy secrets security logging and certification readiness
• Partner with AI LLM Engineer on AI runtime RAG prompt model governance and XAI patterns
• Partner with Data Engineer on canonical model mapping lineage and data quality
• Support architecture walkthroughs with client architects and internal review boards

Technical Requirements:

• Minimum 10 15 years of experience in solution architecture enterprise architecture platform architecture or cloud native product architecture across financial products solutions specific to regulation compliance implementations
• Strong experience designing secure scalable API driven data intensive SaaS platforms using Azure services databases integration patterns DevSecOps observability and RBAC
• Experience working in regulated industries preferably banking financial services risk compliance RegTech AML KYC or regulatory reporting platforms
• Hands on experience using AI assisted tools such as GitHub Copilot Microsoft Copilot Cursor Azure OpenAI Google AI Studio Gemini or equivalent for architecture documentation API design backlog refinement and test scenario generation
• Must understand responsible AI usage in regulated environments including prompt hygiene human review source controlled outputs data privacy and restrictions on using real client data
• Translate product roadmap and business requirements into scalable architecture blueprints design decisions API data patterns NFRs and implementation ready guidance for engineering teams
• Partner with product engineering DevOps data AI security QA and SMEs to ensure the platform is secure scalable auditable maintainable and ready for SaaS client VPC deployment

Additional Responsibilities:

• Experience with Cloud native solution architecture Azure platform architecture SaaS multi tenant architecture API first architecture Data architecture and canonical model design Integration architecture Security and privacy architecture AI RAG architecture DevSecOps architecture Enterprise architecture documentation
• Domain skills in Banking financial services Regulatory reporting AML KYC transaction monitoring awareness Audit evidence controls regulatory reporting ecosystem awareness Data lineage and reconciliation Compliance grade platform design
• Experience with RegTech regulatory reporting AxiomSL AxiomCV SAR CTR AML KYC CDD trade reporting reconciliation audit evidence or compliance platforms

Preferred Skills:

Technology->Application Security->DevSecOps,Technology->Architecture->Architecture - ALL,Technology->Enterprise Architecture->Digital Architecture