Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Lead endtoend architecture for microservices, APIs, and data pipelines supporting ML model serving. Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security.

Description: Job TitleTechnology Architect | Artificial Intelligence | Artificial Intelligence - ALL
Work Location & Reporting AddressSaint 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

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