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
