AI Java Architect

Signature IT World Inc

St. Louis (MO)

On-site

USD 180,000 - 230,000

Full time

25 hours ago
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Job summary

Signature IT World Inc. seeks an experienced Senior Java AI Architect to design scalable AI/ML-powered applications on AWS using Java 21+. You will lead architecture for microservices, event-driven systems, and data pipelines, and integrate LLMs with agentic AI.

The role emphasizes security assessments, performance benchmarking, and mentoring senior engineers. The ideal candidate brings deep Java expertise, Spring AI experience, and proficiency with AWS Bedrock, OpenAI, Anthropic Claude, and

Qualifications

  • Strong expertise in Java 21+ and enterprise-grade architecture.
  • Experience with microservices, event-driven designs, and APIs (REST/GraphQL/gRPC).
  • Proficient in AWS cloud architecture and services (EC2, ECS/EKS, Lambda, API Gateway, S3).
  • Knowledge of AI/ML integration, agentic AI, and LLMs (Claude/OpenAI/AWS Bedrock).
  • Experience with RAG, vector databases, and model serving/inference optimization.
  • Security reviews, threat modeling, and performance benchmarking for cloud apps.

Responsibilities

  • Design and architect scalable AI/ML-powered Java applications on AWS.
  • Define standards, patterns, and best practices for AI integration.
  • Lead end-to-end architecture for microservices, APIs, and data pipelines.
  • Integrate LLMs and multi-agent frameworks into enterprise apps.
  • Conduct architecture reviews, threat modeling, and security assessments.
  • Optimize AI inference, prompt engineering, and token usage.
  • Ensure secure, scalable cloud deployments and mentor engineers.

Skills

Core Java
Microservices
Kafka
REST APIs
GraphQL
gRPC
AWS Cloud
AI/ML
Agentic AI
LLM integration
RAG architecture
Prompt engineering
Security best practices
Spring AI
LangGraph
OpenAI
Anthropic Claude
AWS Bedrock
OpenSearch
Pinecone
pgvector

Tools

Spring AI
OpenAI
Anthropic Claude
AWS Bedrock
OpenSearch
Pinecone
pgvector

Job description

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.
Required Skills
  • 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 OpenSearch, Pinecone, or pgvector.
  • Model serving, inference optimization, and prompt engineering.
  • Experience with Spring AI, LangGraph, 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 AgentCore.
Preferred Qualifications
  • 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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