Senior AI & Cloud-Native Software Architect (108-10SENG-01)

Requirements

• 7+ years of software engineering experienceMust
• Proven experience owning architecture of production distributed systems including microservices and domain-driven designMust
• Hands-on delivery of production GenAI or LLM applications with evaluation and AI safety controlsMust
• Experience with RAG, embeddings, and vector databases such as pgvector, OpenSearch, or equivalentMust
• Strong TypeScript/Node.js or Python engineering experienceMust
• Deep knowledge of cloud-native patterns including containers, Kubernetes, serverless, and event-driven messagingMust
• Strong understanding of security in cloud-native systems including identity, authorization, secrets management, and data protectionMust
• Docker, CI/CD, automated testing, and observability tools such as OpenTelemetry, Grafana, Datadog, or CloudWatchMust
• AWS services including Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB
• Terraform, CloudFormation, or CDK infrastructure as code
• Conversational AI and contact center experience with WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, or voice bots
• AWS Certified Solutions Architect Professional or equivalent certification
• Customer-facing consulting experience and ability to present to executive stakeholders

What you'll do

• Design scalable, secure, and resilient architectures for AI-enabled applications
• Define cloud-native patterns across microservices, containers, serverless, and event-driven systems
• Design and productionize GenAI and RAG solutions including model selection, retrieval strategy, and cost/latency optimization
• Build backend services and event-driven workflows with queues, workers, and webhooks
• Own the architecture from discovery to go-live and guide engineers through architecture and code reviews
• Implement observability and secure CI/CD pipelines
• Translate business use cases into technical designs and executive summaries
• Define non-functional requirements and document architectural decisions

Keywords

About the role

This role owns the software and cloud-native architecture of AI-enabled applications and retrieval systems, from design to production. It combines architectural leadership with hands-on engineering: designing GenAI and RAG solutions, building cloud-native backend services, and ensuring the security, reliability, and observability required for production workloads. Requirements What you will do • Design scalable, secure, and resilient architectures for AI-enabled applications, defining service boundaries, data flows, APIs, and integration patterns. • Define cloud-native patterns across microservices, containers, serverless, and event-driven systems. • Design and productionize GenAI and RAG solutions: model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization. • Build backend services in TypeScript/Node.js and/or Python, and event-driven workflows with queues, workers, and webhooks. • Define non-functional requirements, evaluate trade-offs, and document decisions in ADRs. • Translate business use cases into technical designs, assessments, and executive summaries. • Own the architecture from discovery to go-live, guiding engineers through architecture and code reviews. • Implement observability and secure CI/CD pipelines. Job requirements • 7+ years of software engineering experience. • Proven experience owning the architecture of production distributed systems (microservices, domain-driven design, REST and asynchronous APIs). • Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls. • Experience with RAG, embeddings, and vector databases (pgvector, OpenSearch, or equivalent). • Strong TypeScript/Node.js or Python engineering experience. • Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven messaging, and resilience patterns. • Strong understanding of security in cloud-native systems: identity, authorization, secrets management, and data protection. • Docker, CI/CD, automated testing, and observability (OpenTelemetry, Grafana, Datadog, or CloudWatch). Nice to have • AWS: Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB. • Conversational and contact center: WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, voice bots. • Terraform, CloudFormation, or CDK. • AWS Certified Solutions Architect – Professional or equivalent. • Customer-facing consulting experience and comfort presenting to executive stakeholders. Engagement details Part time Remote Contractor Hourly Start: ASAP Highlights AWS (Bedrock, Lambda, SQS, EventBridge), GenAI / LLM, RAG & Vector Databases (pgvector, OpenSearch), TypeScript / Node.js, Python, Kubernetes, Docker, PostgreSQL, Terraform / CloudFormation / CDK Originally posted on Himalayas