Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

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

Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Work Location & Reporting Address
Saint Louis, MO 63131

Vendor Rate***/hr***

Contract duration12

Target Start Date01 Aug 2026

Key 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

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

Education

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

Minimum Years Of Experience

8-10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

• Define technical standards, patterns, and best practices for AI integration within Java ecosystems
• Lead endtoend architecture for microservices, APIs, and data pipelines supporting ML model serving
• Conduct architecture reviews, threat modeling, and performance benchmarking

Interview Process (Is face to face required?) Yes

Custom Fields:

• Name: Intake Call Requested
  Value: true
• Name: Intake Call Completed
  Value: true