Architecting AI-Powered Cloud Systems on AWS - Full Day
As AI rapidly transforms how businesses operate, the cloud must evolve to support AI-first workloads—from large language model (LLM) inference to real-time personalization and intelligent automation. This talk delivers a hands-on deep dive into modern AWS architecture patterns for building secure, resilient, and cost-effective systems that power AI-driven applications at scale.
Attendees will explore the convergence of AI/ML, serverless, data lakes, edge computing, and cloud-native microservices on AWS. They'll learn how to design solutions that balance performance and cost, meet enterprise security expectations, and scale dynamically across use cases such as generative AI, predictive analytics, AI agents, and recommendation engines.
Audience
This talk is ideal for:
Cloud Architects and Technical Leads designing AI workloads
Platform Engineers and DevOps teams building scalable ML and LLM infrastructure
AI/ML Engineers and Data Scientists deploying models to AWS production environments
SaaS Product Engineers developing intelligent features for customers
Key Takeaways
Participants will learn:
Proven AWS patterns for serving GenAI and ML workloads
How to architect multi-tier AI applications using Lambda, Bedrock, ECS/EKS, and SageMaker
AI-specific security, governance, and cost strategies
How to optimize compute, storage, and data flow for real-time inference and high throughput
Patterns to make APIs and pipelines consumable by AI agents
Tools to monitor, scale, and secure AI-powered systems
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.