Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

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

Custom Fields:

Name: Intake Call Requested

Value: true

Name: Intake Call Completed

Value: true