Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-07-31
Listing for:
Expedite Talent Solutions
Full Time
position Listed on 2026-07-31
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Backend Developer
Job Description & How to Apply Below
Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL
Work Location & Reporting Address
Saint Louis, MO 63131
Vendor Rate***/hr***
Contract duration
12
Target Start Date
01 Aug 2026
- 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
- 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 (Open Search, 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.
B.E./B.Tech/M.Tech in Computer Science or related field
Minimum Years Of Experience8-10 years
Certifications Needed :
No
- 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
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