Unknown Company

Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

st. louis, mo • Posted 6 days ago
Onsite Contract Software Architecture & Engineering

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

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