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