AI Solution Architect - BFSI | AI & DATA

Position: AI Solution Architect – BFSI | AI & Data Role Overview We are looking for a seasoned and client-focused Solution Architect with deep expertise in the Banking, Financial Services, and Insurance (BFSI) domain to drive the design and delivery of data-driven, AI-powered, and cloud-native solutions. This role involves partnering with business and technology stakeholders to translate complex BFSI challenges into scalable, secure, and regulatory-compliant architectures, while supporting digital transformation and innovation initiatives across global financial institutions. The architect will also play a key role in client engagement, solutioning, and pre-sales efforts, acting as a trusted advisor to senior leadership. The candidate should be an AI Architect with an end-to-end (E2E) solution architecting approach or an enterprise solutioning approach, capable of designing holistic, scalable solutions across business and technology layers. Solution Architecture & Design • Lead the design of end-to-end technology solutions across BFSI domains including core banking, payments, lending, wealth management, and insurance • Translate business requirements into scalable, secure, and compliant architecture blueprints • Define architecture across application, data, integration (APIs), cloud, security, and DevOps layers • Ensure alignment with enterprise architecture standards and best practices • Adopt an E2E solution architecting and enterprise solutioning approach across all engagements Data & AI Architecture • Architect and drive Data & AI use cases such as fraud detection, AML, credit risk modeling, and customer analytics • Design and implement modern data platforms including data lakes, lakehouses, and real-time data pipelines • Enable advanced analytics, machine learning, and AI-driven decision-making frameworks • Ensure data governance, quality, and compliance across data ecosystems • Design AI solutions with an enterprise-wide and end-to-end architectural perspective Cloud & Modernization Strategy • Architect cloud-native and hybrid solutions leveraging AWS, Azure, or GCP platforms • Drive application modernization initiatives using microservices, APIs, and event-driven architectures • Enable scalability, resilience, and performance optimization across distributed systems • Define DevOps, CI/CD, and automation strategies to accelerate delivery CXO Advisory & Stakeholder Engagement • Act as a trusted advisor to CXOs and senior stakeholders on technology, data, and AI transformation initiatives • Lead architecture discussions, solution workshops, and executive-level presentations • Translate complex technical concepts into business-aligned value propositions • Support strategic decision-making through technology insights and recommendations Pre-Sales & Solutioning • Support pre-sales activities including RFP/RFI responses, solution design, and effort estimation • Collaborate with sales, consulting, and delivery teams to build compelling, differentiated proposals • Define solution narratives, value propositions, and transformation roadmaps • Contribute to deal shaping and client presentations for strategic opportunities • Demonstrate enterprise solutioning capability with an end-to-end view across business, data, and technology layers • Provide architectural governance across the solution lifecycle from design to implementation • Identify and mitigate technology risks, ensuring secure and compliant solution delivery • Establish best practices for security, data privacy, and regulatory alignment Technical Leadership & Delivery Oversight • Provide technical leadership and guidance to engineering, data, and platform teams • Ensure alignment between architecture design and execution across programs • Drive solution quality, performance, and scalability through structured governance • Mentor teams and promote adoption of modern engineering and architecture practices • Guide teams in implementing E2E architecture aligned with enterprise-wide standards BFSI Use Cases Fraud detection, AML, credit risk modeling Customer analytics and personalization Claims automation and underwriting (Insurance) Required Skills & Experience Strong E2E AI solution architecting experience Python, ML frameworks, GenAI tools (LLMs, LangChain) Cloud platforms (AWS/Azure/GCP) MLOps tools and microservices architecture 12–18 years experience, with AI architecture exposure Work model: Hybrid Location : Whitefield, Bangalore Notice period: Prefer Immediate Joiners Interested candidates can share the updated profile to, poornima.r@genisys-group.com