Solution Architect / Platform Solution Architect

Infosys; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Infosys in India seeks a Senior Solution Architect with 10–15 years of experience across solution, enterprise, platform, and cloud-native product architecture for financial and regulatory platforms.

You will translate roadmaps into scalable blueprints, design API-first patterns, ensure security and privacy, and collaborate with product, engineering, DevOps, data, AI, and security teams for SaaS and client deployments.

Qualifications

• Minimum 10–15 years of experience in solution, enterprise, platform, or cloud-native product architecture for financial products and regulatory implementations.
• Strong design experience for secure, scalable, API-driven data-intensive SaaS platforms with Azure services and RBAC.
• Experience in regulated industries such as banking, financial services, risk, compliance, RegTech, AML, KYC, or regulatory reporting platforms.
• Hands-on with AI-assisted tools (GitHub Copilot, Azure OpenAI, or equivalent) for architecture, API design, backlog refinement, and test scenario generation.

Responsibilities

• Translate roadmaps and requirements into scalable architecture blueprints, API/data patterns, and non-functional requirements for engineering teams.
• Own architecture decisions across application, data, AI, integration, security and infrastructure layers; define platform target architecture.
• Design SaaS and client VPC deployment models and module integration patterns; ensure SAR/CTR and audit evidence readiness.
• Partner with product, engineering, DevOps, data, AI, security, QA and SMEs to deliver secure, auditable, multi-tenant platforms.
• Review API contracts, data models, audit events and integration patterns; ensure AI governance and data privacy compliance.

Skills

Solution architecture

Enterprise architecture

Platform architecture

Cloud-native SaaS

RegTech/Regulatory compliance

Azure platform

RBAC security

AI-assisted tooling

DevSecOps

API-first design

Data architecture

Regulatory reporting

Data privacy

Governance & controls

Auditing

Tools

Azure

GitHub Copilot

Microsoft Copilot

Cursor

Azure OpenAI

Gemini / Google AI Studio

Job description

• 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.