--- title: "Raymond Furtado - AI Solutions Architect (Business Analyst) in Bengaluru | Tal" description: "Meet Raymond Furtado, AI Solutions Architect (Business Analyst) @ Amazon | Building Production GenAI Systems at Amazon | Bedrock · Multimodal AI · Step Functions · HITL based in Bengaluru. AI stack includes claude code, hugging face, and kiro." image: "https://tal.club/meet/raymond-furtado/share-image" --- # Raymond Furtado on Tal ## Headline AI Solutions Architect \(Business Analyst\) @ Amazon \| Building Production GenAI Systems at Amazon \| Bedrock · Multimodal AI · Step Functions · HITL ## About I build production AI systems \- not prototypes, not demos\. Systems that run at scale, get measured, and hold up under real operational load\. I'm a Business Analyst at Amazon by title, with 9\+ years in data and AI \- including 6\+ years at Amazon, where I've moved from data analytics into GenAI/LLM solution architecture\. I design systems that combine large language models with event\-driven AWS infrastructure to solve problems that used to require armies of manual reviewers\. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 🔹 What I've architected: → TRIDENT :\- A multimodal GenAI classification system \(Amazon Bedrock — text \+ image reasoning\) that automates compliance attribute labelling\. Cut per\-attribute review time from 217 seconds to 16 seconds at a 5\.5% human\-override rate — scaling across 450 product categories and 25 global marketplaces, delivering \~$3\.8M\+/year in savings at full scale\. → TRON :\- A companion AI meta\-authoring system that automates the prompt\-engineering process itself, where one LLM writes the classification rules another LLM follows\. Projected to cut prompt\-authoring time by \~97% and save \~$1\.1M across the same 450 product types\. → OATH :\- A serverless customs data transfer pipeline delivering duty\-accurate EU import declarations across 8 languages for 2 major customs brokers across the EU\-27, processing 33,500\+ records daily\. → EU ASIN Compliance Dashboard :\- Real\-time regulatory risk monitoring for EU customs compliance, and analytics platforms that have informed $50M\+ in strategic decisions\. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 🔹 How I work: I care about the boring parts of architecture as much as the exciting parts — trade\-off analysis, build\-vs\-buy decisions, integration design, reconciliation logic\. The AI system is only as good as the pipeline, auth model, and human\-in\-the\-loop review process around it\. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 🔹 Stack: AWS \(Lambda, Step Functions, CDK, Athena, S3, EventBridge, DynamoDB, IAM\) · Amazon Bedrock · Redshift · PostgreSQL · Python · PySpark · SQL ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Always happy to connect with people working in this space that keeps on evolving\. ## Location Bengaluru ## AI stack claude code hugging face kiro langchain langgraph ## Work experience AI Solutions Architect \(Business Analyst\) at Amazon, Sep 2022 \- Present · 4 yrs 1 mo, Bengaluru · Hybrid, Architecting production GenAI systems for trade compliance \- from multimodal AI pipelines to self\-improving prompt authoring platforms\. ▸ TRIDENT \- Architected and deployed a production multimodal GenAI labelling system \(Amazon Bedrock Claude Sonnet, text \+ image reasoning\) with AWS Step Functions orchestration \(8 Lambda functions\), processing \~990K ASINs across 450 product types and 25 global marketplaces\. Reduced review time from 217 to 16 seconds per attribute with only 5\.5% human override rate, delivering \~$3\.8M\+/year in operational savings\. ▸ TRON \- Designed a companion AI meta\-authoring system that reverse\-engineers human\-verified labels into production\-ready classification prompts\. The LLM writes the rules another LLM follows\. 7\-stage Step Functions pipeline with self\-improving auto\-evaluation loops\. Projected \~97% time reduction and \~$1\.1M cost savings across 450 PTs\. ▸ OATH \- Designed and shipped a serverless integration architecture delivering classification data to global customs brokers \(UPS, Maersk\) across the EU\-27\. GRASP Proxy \(Graph API\) → S3 → Lambda → Redshift pipeline with OAuth 2\.0 \+ SigV4 dual\-identity authentication, processing 33,500\+ records daily across 8 business lines\. ▸ Designed a real\-time regulatory risk monitoring architecture for EU customs compliance with AI\-driven predictive risk\-scoring across 5 cross\-border trade programs\. ▸ Designed a Bedrock\-powered agentic reporting architecture with anomaly detection and natural\-language variance analysis\. ▸ Engineered unified analytics across 80\+ metric dashboards and 4 disparate systems, saving 234\+ hours/year\. ▸ Designed large\-scale ETL pipeline architecture processing 5TB\+ of daily data for 1,000\+ users org\-wide\. Skills: Generative AI · Amazon Bedrock · AWS Step Functions · AWS Lambda · Solutions Architecture · Python · Prompt Engineering · Serverless Architecture Workflow Analyst → Senior Associate at Amazon, Dec 2019 \- Aug 2022 · 2 yrs 9 mos, Bengaluru · Hybrid, Built the data and analytics foundation that evolved into the current GenAI architecture practice \- ETL pipelines, operational dashboards, and cross\-functional reporting systems\. • Workflow Analyst \(Apr 2020 – Aug 2022\) • Senior Associate \(Dec 2019 – Apr 2020\) Skills: SQL · Python · Redshift · ETL Pipeline Design · Data Analysis · Quicksight Area Business Manager \(Data Analyst\) at OYO, May 2018 \- Dec 2019 · 1 yr 8 mos, Goa, India, Key Focus: 5\+ ETL pipelines from scratch, transitioning teams off Excel to interactive Power BI dashboards, and facilitating strategic cost savings\. Data Analyst at RIVIGO, Jul 2017 \- May 2018 · 11 mos, Mumbai, Maharashtra, India ## Education Master's degree, Data Science, Deakin University Post Graduate Program, Data Science and Business Analytics, Texas McCombs School of Business [View the original profile](https://tal.club/meet/raymond-furtado) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/raymond-furtado#person", "name": "Raymond Furtado", "url": "https://tal.club/meet/raymond-furtado", "image": "https://tal.club/meet/raymond-furtado/profile-photo.jpg", "description": "Meet Raymond Furtado, AI Solutions Architect (Business Analyst) @ Amazon | Building Production GenAI Systems at Amazon | Bedrock · Multimodal AI · Step Functions · HITL based in Bengaluru. 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