Senior AI Architect: Java, AWS & Microservices

Expedite Talent Solutions; St. Louis (MO); On-site; USD 165,312 - 247,968; Full time

Job summary

Expedite Talent Solutions seeks a Technology Architect to design enterprise-grade AI/ML-powered Java applications on AWS, leading architecture for microservices, APIs, and data pipelines. You will define standards and best practices for AI integration within Java ecosystems and mentor senior engineers across cross-functional teams.

The role requires 8–10 years of experience, deep Java expertise, and strong knowledge of AI/ML integration, LLMs, and cloud architectures.

Qualifications

• Experience designing and architecting enterprise-grade Java/AI applications on cloud
• Ability to define technical standards, patterns, and best practices for AI integration
• Leadership of end-to-end architecture for microservices, APIs, and data pipelines supporting ML models

Responsibilities

• 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

Skills

Core Java & Architecture

Java 21+

Spring Boot

Spring AI

Microservices

API design (REST/GraphQL)

Design patterns

AI / ML Integration

Agentic AI / multi-agent

LLM integration

RAG architectures

Model serving

Prompt Engineering

AWS

EC2/ECS/EKS/Lambda

S3/RDS/Aurora/IAM/KMS/Secrets

Education

B.E./B.Tech/M.Tech in Computer Science or related field

Job description

Expedite Talent Solutions seeks a Technology Architect to design enterprise-grade AI/ML-powered Java applications on AWS, leading architecture for microservices, APIs, and data pipelines. You will define standards and best practices for AI integration within Java ecosystems and mentor senior engineers across cross-functional teams.

The role requires 8–10 years of experience, deep Java expertise, and strong knowledge of AI/ML integration, LLMs, and cloud architectures.