Overview
Neurons Lab Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Join to apply for the AI Architect (BFSI) role at Neurons Lab .
About The Project : We're transforming how financial services companies operate through AI-driven solutions. Our portfolio spans major banks, insurance providers, and asset management firms, where we're solving real business challenges on multiple fronts. On the customer-facing side, we're revolutionizing front-office operations with intelligent chatbots and voice solutions that enhance customer support and streamline call center operations. Behind the scenes, we're automating complex back-office workflows—from document processing and OCR automation to compliance and operational efficiency improvements. The work is technically challenging and highly impactful—our solutions directly improve customer experiences while reducing operational costs and compliance risks for some of the world's largest financial institutions.
Objectives and KPIs
- Ensure deploying developed in-house AI and solutions on 80% of the projects
- Maintain customer satisfaction index (CSI) at 100%
Areas of Responsibility
Lead technical discovery sessions and scoping workshops with financial services clients to understand needs and challengesTake ownership of the technical sales process to ensure proposed AI solutions align with client requirementsLead solution architecture and design where AI agents require custom integration with financial systemsOwn quality and performance of developed AI solutions for banking, insurance, and asset management clientsCommunicate technical progress and milestones to stakeholders, focusing on business impact and strategic valueDefine prompts, context, verification processes, and fine-tuning strategies for AI agentsEstablish best practices for prompt engineering and context management in financial use casesArchitecture & Design
Develop comprehensive AI solution visions and architectures for financial services clientsDesign scalable AWS-based AI architectures that meet regulatory requirementsCreate compelling presentations and demos showcasing proposed AI solutions for call centers and document processingProvide accurate estimates for timelines, resources, costs, and delivery milestonesRapidly prototype AI / ML solutions to validate capabilities for financial use casesLead implementation of emotionally intelligent agents for customer service applicationsLeadership
Mentor and lead teams of ML Engineers deploying GenAI solutionsEstablish technical standards and quality gates for AI implementationsBridge communications between technical teams and business stakeholdersIdentify and mitigate technical risks in AI deployments within regulated environmentsSkills
Expert-level solution architecture skills with AWS AI / ML servicesAdvanced technical leadership and team coordination abilitiesExceptional client-facing communication and presentation skillsHands-on experience with :AWS AI / ML stack (Bedrock, SageMaker, Lambda, Connect, Comprehend)
LLM frameworks and enterprise integration (Anthropic Claude, LangChain)System design for high-compliance environmentsTechnical sales and solution demonstrationsStrong technical writing and documentation capabilitiesRapid prototyping and proof-of-concept developmentKnowledge
Deep understanding of enterprise architecture patterns for AI systemsComprehensive knowledge of AI agent frameworks and orchestrationExpert understanding of AWS AI / ML services and architectural best practicesStrong awareness of financial services regulations and compliance requirementsIn-depth knowledge of :Call center technologies and integration points
Document processing workflows in financial institutionsEmotional intelligence capabilities in customer-facing AI solutionsFinancial domain processes (lending, claims, advisory, etc.)Security and privacy considerations for financial dataExperience
5+ years of experience leading technical teams in banks, insurance companies, or financial technology providers5+ years of proven track record designing and implementing enterprise-grade AI solutions3+ years of client-facing technical leadership in solution architecture or forward-deployed engineering roles3+ years of experience with AWS architecture and services, particularly AI / ML offeringsBachelor's degree in Computer Science, Engineering, or related field (Master's preferred)Successful delivery of multiple large-scale AI projects from concept to productionSeniority level
Mid-Senior levelEmployment type
ContractJob function
Design, Art / Creative, and Information TechnologyIndustries
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