Java AI Architect / Lead

Diverse Lynx LLC

St. Louis, MO, United States

7 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.careerjet.com

Tech stack

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 Java Application Server Large Language Models

+18 more

Multi-Agent Systems Prompt Engineering Spring-boot Caching Amazon Virtual Private Cloud (VPC) Event Driven Architecture Amazon Relational Database Service Information Technology Apache Kafka Graphql Machine Learning Operations Virtual Agents Functional Programming Api Design Api Gateway Amazon Simple Queue Service (SQS) Data Pipelines Microservices

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 Eligible to workimization, prompt engineering Spring AI, Langgraph, Google ADK, A2A, MCP. Prompt Engineering, prompt caching, Token Eligible to workimization. AWS Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security AI: Bedrock, Agent Core.