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

1218 years experience, with AI architecture exposure

Work model: Hybrid

Location : Whitefield, Bangalore

Interested candidates can share the updated profile to, poornima.r@genisys-group.com