AI Java Architect
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-10-15
Listing for:
Signature IT World Inc
Full Time
position Listed on 2026-10-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Backend Developer, AWS
Job Description & How to Apply Below
We are seeking an experienced Senior Java AI Architect to design and build enterprise-grade AI/ML-powered applications using Java and AWS. The ideal candidate will have strong expertise in Java 21+, Spring Boot, Spring AI, microservices, Agentic AI, LLM integration, and AWS cloud architecture.
Key Responsibilities- Design and architect scalable AI/ML-powered Java applications on AWS.
- Define architecture standards, design patterns, and best practices for AI integration.
- Lead end-to-end architecture for microservices, APIs, event-driven systems, and data pipelines.
- Integrate LLMs, multi-agent frameworks, and RAG solutions into enterprise applications.
- Conduct architecture reviews, threat modeling, security assessments, and performance benchmarking.
- Optimize AI inference, prompt engineering, prompt caching, and token usage.
- Ensure secure, scalable, and high-performance cloud deployments.
- Mentor senior engineers and collaborate with cross-functional teams on AI-first architecture.
- Core Java & Architecture
- Microservices and event-driven architecture.
- Kafka, AWS SQS/SNS.
- REST, GraphQL, and gRPC APIs.
- Enterprise architecture, design patterns, and scalability.
- AI/ML & Agentic AI
- Enterprise-level Agentic AI and multi-agent frameworks.
- LLM integration using Anthropic Claude, OpenAI, or AWS Bedrock.
- RAG architecture and vector databases such as Open Search, Pinecone, or pgvector.
- Model serving, inference optimization, and prompt engineering.
- Experience with Spring AI, Lang Graph, Google ADK, A2A, and MCP.
- Prompt caching and token optimization.
- AWS Cloud
- EC2, ECS/EKS, Lambda, API Gateway, S3.
- RDS/Aurora, IAM, KMS, Secrets Manager, and VPC security.
- AWS Bedrock and Amazon Bedrock Agent Core.
- Experience designing enterprise-scale AI platforms and production-ready GenAI applications.
- Strong understanding of AI security, cloud-native architecture, and distributed systems.
- Experience leading technical teams and communicating architecture decisions to stakeholders.
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