Senior Java AI Architect: Enterprise LLM & AI Systems

Openkyber

Alaska

Hybrid

USD 170,000 - 260,000

Full time

14 days+
Application generator

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Job summary

Openkyber is seeking a Senior Core Java AI Architect in Saint Louis, MO with hybrid work. You will design and build enterprise-grade AI-enabled microservices using Java 21+, Spring Boot, and sophisticated LLM integrations.

Expertise in event-driven architectures, REST/GraphQL APIs, and gRPC is required to deliver scalable AI/ML solutions. You will work with cutting-edge tools like OpenAI, Anthropic Claude API, AWS Bedrock, and vector databases (OpenSearch, Pinecone, pgvector) to optimize model

Qualifications

  • Experience with Agentic AI / multi-agent frameworks at enterprise scale.
  • LLM integration via 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, MCP.
  • Prompt Engineering, prompt caching, token optimization.
  • AWS

Responsibilities

  • Design and implement AI-enabled core Java microservices for enterprise AI workloads.
  • Integrate LLMs and multi-agent agents across scalable architectures.
  • Develop and optimize data pipelines for vector databases and model serving.
  • Collaborate with teams on API design (REST/GraphQL) and event-driven patterns.
  • Evaluate and implement AI/ML deployment best practices on AWS Bedrock / Anthropic/OpenAI.

Skills

Java 21+
Spring Boot
Spring AI Microservices
Event-driven
Kafka
SQS/SNS
REST API design
GraphQL API design
gRPC
Enterprise architecture
AI/ML integration

Tools

OpenAI
Anthropic Claude API
AWS Bedrock
OpenSearch
Pinecone
pgvector
Langgraph
Google ADK
A2A

Job description

Openkyber is seeking a Senior Core Java AI Architect in Saint Louis, MO with hybrid work. You will design and build enterprise-grade AI-enabled microservices using Java 21+, Spring Boot, and sophisticated LLM integrations.

Expertise in event-driven architectures, REST/GraphQL APIs, and gRPC is required to deliver scalable AI/ML solutions. You will work with cutting-edge tools like OpenAI, Anthropic Claude API, AWS Bedrock, and vector databases (OpenSearch, Pinecone, pgvector) to optimize model

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