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AI Java Architect

eTeam Inc
Des Peres, MO, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

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
+28 more
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

Job 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.

Requirements

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

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