I
Infosys
Solution Architect / Platform Solution Architect
Skills
Product StrategyDevOpsTesting & QAAIGitHubComplianceAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Pune Division, Maharashtra, India
Work mode:
Onsite
Published on:
22 September 2026
What they need
- 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.
- 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.
- 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.
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