> Markdown version of [/jobs/ext/2620808-ai-architect-gen-ai-llms-aws](https://www.wearedevelopers.com/jobs/ext/2620808-ai-architect-gen-ai-llms-aws). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect - Gen AI, LLms & AWS - **Company:** ATINFO TECHNOLOGY INC - **Location:** West Palm Beach, FL, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, User Authentication, Software Quality, Computer Programming, Databases, Continuous Integration, Memory Management, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), PostgreSQL, Cloud Services, Search Technologies, Software Engineering, Workflow Management Systems, AWS Cdk, Enterprise Software Applications, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Security, Model Validation, Generative AI, AWS Lambda, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Cloudwatch, Api Gateway, Restful APIs, Terraform, GPT, Serverless Computing, Docker, Microservices - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/57a5e06b-6d3f-48b3-ab99-bc07834271b6 ## About the Role * Strong hands-on experience with OpenAI GPT, Anthropic Claude, Llama, Mistral, Amazon Nova, or similar foundation models. * Experience building enterprise-grade LLM applications. * Expertise in Retrieval-Augmented Generation (RAG). * Prompt engineering, prompt optimization, embeddings, semantic search, and model evaluation. * Experience integrating multiple LLM providers and managing model orchestration. Agentic AI Hands-on experience with one or more of: * LangChain * LangGraph * CrewAI * Microsoft Semantic Kernel * AutoGen * Amazon Bedrock Agents Experience developing: * Multi-agent workflows * Tool calling * Function calling * Memory management * Planning and reasoning agents AWS Cloud Strong hands-on experience with: * Amazon Bedrock * Amazon SageMaker * AWS Lambda * ECS/EKS * API Gateway * Step Functions * Amazon S3 * DynamoDB * Amazon OpenSearch * Amazon Aurora * CloudWatch * IAM * VPC * EventBridge * Secrets Manager Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation) is highly desirable. Programming * Python (mandatory) * FastAPI / Flask * REST APIs * Microservices * Docker * Kubernetes * Git * CI/CD pipelines Databases & Search Experience with: * PostgreSQL * DynamoDB * OpenSearch * Pinecone * Weaviate * Chroma * FAISS * Milvus Preferred Qualifications * Experience building AI products from concept to production. * Strong understanding of LLMOps, MLOps, observability, and AI monitoring. * Experience implementing AI guardrails, responsible AI, and enterprise security controls. * Familiarity with event-driven and serverless architectures. * Knowledge of authentication, authorization, and API security. ## Description We are looking for a hands-on AI Architect to lead the design, development, enhancement, and deployment of an enterprise AI platform powered by Large Language Models (LLMs). The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, and AWS cloud services to build scalable, secure, and production-ready AI applications., * Design, develop, and enhance an enterprise AI platform integrating multiple Large Language Models (LLMs). * Architect and implement scalable AI solutions using modern Agentic AI frameworks and Retrieval-Augmented Generation (RAG) architectures. * Build intelligent AI agents capable of reasoning, planning, tool execution, and workflow orchestration. * Develop secure, scalable, and highly available cloud-native AI applications on AWS. * Design and implement REST APIs and microservices to expose AI capabilities to enterprise applications. * Integrate AI services with enterprise systems, databases, APIs, and third-party platforms. * Deploy, monitor, and optimize AI workloads on AWS ensuring performance, scalability, security, and cost efficiency. * Work closely with product owners and engineering teams to translate business requirements into technical solutions. * Drive architecture reviews, code quality, CI/CD automation, and engineering best practices. * Evaluate emerging LLMs, AI frameworks, and cloud services to continuously improve the AI platform. * Mentor developers and provide technical leadership across AI initiatives. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)