Posted Apr 21, 2026
As an AI Solution Architect in the BFSI domain, you will be responsible for driving the design and delivery of data-driven, AI-powered, and cloud-native solutions. Your role will involve translating complex BFSI challenges into scalable, secure, and regulatory-compliant architectures to support digital transformation and innovation initiatives across global financial institutions. Additionally, you will play a key role in client engagement, solutioning, and pre-sales efforts, acting as a trusted advisor to senior leadership. Key Responsibilities:
Lead the design of end-to-end technology solutions across BFSI domains such as 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. - Architect and drive Data & AI use cases including fraud detection, AML, credit risk modeling, and customer analytics. - Design cloud-native and hybrid solutions leveraging AWS, Azure, or GCP platforms. - Act as a trusted advisor to CXOs and senior stakeholders on technology, data, and AI transformation initiatives. - Support pre-sales activities including RFP/RFI responses, solution design, and effort estimation. - Provide technical leadership and guidance to engineering, data, and platform teams. Qualifications Required:
Strong E2E AI solution architecting experience. - Proficiency in Python, ML frameworks, GenAI tools (LLMs, LangChain). - Experience with cloud platforms like AWS/Azure/GCP. - Familiarity with MLOps tools and microservices architecture. - 1218 years of experience with exposure to AI architecture. - Work model: Hybrid. - Location: Whitefield, Bangalore. If you are a seasoned Solution Architect with expertise in BFSI and a passion for driving innovative AI solutions, we encourage you to share your updated profile for consideration. This is an exciting opportunity to make a significant impact in the financial services industry. As an AI Solution Architect in the BFSI domain, you will be responsible for driving the design and delivery of data-driven, AI-powered, and cloud-native solutions. Your role will involve translating complex BFSI challenges into scalable, secure, and regulatory-compliant architectures to support digital transformation and innovation initiatives across global financial institutions. Additionally, you will play a key role in client engagement, solutioning, and pre-sales efforts, acting as a trusted advisor to senior leadership. Key Responsibilities:
Lead the design of end-to-end technology solutions across BFSI domains such as 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. - Architect and drive Data & AI use cases including fraud detection, AML, credit risk modeling, and customer analytics. - Design cloud-native and hybrid solutions leveraging AWS, Azure, or GCP platforms. - Act as a trusted advisor to CXOs and senior stakeholders on technology, data, and AI transformation initiatives. - Support pre-sales activities including RFP/RFI responses, solution design, and effort estimation. - Provide technical leadership and guidance to engineering, data, and platform teams. Qualifications Required:
Strong E2E AI solution architecting experience. - Proficiency in Python, ML frameworks, GenAI tools (LLMs, LangChain). - Experience with cloud platforms like AWS/Azure/GCP. - Familiarity with MLOps tools and microservices architecture. - 1218 years of experience with exposure to AI architecture. - Work model: Hybrid. - Location: Whitefield, Bangalore. If you are a seasoned Solution Architect with expertise in BFSI and a passion for driving innovative AI solutions, we encourage you to share your updated profile for consideration. This is an exciting opportunity to make a significant impact in the financial services industry.
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