AI Solution Architect
- Consulting Knights, Inc.
1 Days Ago
NA
C2C
Saint Louis-MO
8-10 Years
Required Skills: Java 21+, Spring Boot, Spring AI,
Job Description
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
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
