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# AI Java Architect

- **Company:** eTeam Inc
- **Location:** Des Peres, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Integration Architecture, Software Design Patterns, Identity and Access Management, Machine Learning, Inference Optimization, OpenAI, Pinecone, Java Application Server, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Caching, Amazon Virtual Private Cloud (VPC), Agentic-AI, Event Driven Architecture, Amazon Relational Database Service, Pgvector, Information Technology, Apache Kafka, Graphql, Data Management, Machine Learning Operations, Claude, Functional Programming, Api Design, Api Gateway, Amazon Simple Queue Service (SQS), Data Pipelines, OpenSearch, Microservices, Agent2Agent Protocol
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-java-architect-saint-louis-mo--4f2f39c7-c034-44f1-b861-9068a149cfa5

## About the Role

Java, Artificial Intelligence (AI), Best Practices, Artificial Intelligence (AI), Java, Ecosystems, Standards Development, Microservices, Application Programming Interface (API), Data Management, * B.E./B.Tech/M.Tech in Computer Science or related field

 * Minimum years of experience
 * 8-10 years

## Description

* Design and architect enterprise-grade AI/ML-powered Java applications on AWS cloud infrastructure
 * Define technical standards, patterns, and best practices for AI integration within Java ecosystems
 * Lead end-to-end architecture for microservices, APIs, and data pipelines supporting ML model serving
 * Conduct architecture reviews, threat modeling, and performance benchmarking
 * Mentor senior engineers and guide cross-functional teams on AI-first design principle

Required Skills:

 * Core Java & Architecture
 * Java 21 , Spring Boot, Spring AI
 * Microservices, event-driven architecture (Kafka, SQS/SNS)
 * REST/GraphQL API design, gRPC
 * Design patterns, Enterprise architecture and scaling
 * AI / ML Integration
 * Experience with Agentic AI / multi-agent frameworks at enterprise scale.
 * LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
 * RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
 * Model serving, inference optimization, prompt engineering
 * Spring AI, Langgraph, Google ADK, A2A, ClientP.
 * Prompt Engineering, prompt caching, Token optimization.
 * AWS

Core:

 * EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security
 * AI: Bedrock, Agent Core.