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IL

Solution Architect – Java, AI & Cloud (AWS)

ICONMA, LLC
πŸ‡ΊπŸ‡Έ United States
Remote
3 months ago
$60.71 – $67.86 / hour
  • Java
  • AI
  • AWS
  • System Design
  • Load Testing
  • Spring Boot
  • Microservices
  • gRPC
  • RabbitMQ
  • AI/ML
  • RAG
  • OpenAI
  • AWS Bedrock
  • EC2
  • ECS
  • EKS
  • RDS
  • DynamoDB
  • VPC
  • API Gateway
  • IAM
  • KMS
  • Disaster Recovery
  • Hibernate
  • JPA
  • TensorFlow
  • PyTorch
  • CloudWatch
  • OWASP
  • Docker
  • Kubernetes
  • CI/CD
  • Jenkins
  • GitLab CI
  • PostgreSQL
  • MySQL
  • Oracle
  • NoSQL
  • MongoDB
  • Event-Driven Architecture
  • Kinesis
  • IaC
  • Terraform
  • CloudFormation
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Our Client, an IT Services and Consultant company, is looking for a Solution Architect – Java, AI & Cloud (AWS) for their Atlanta, GA / Remote location.
Β 
Responsibilities:
  • Own end-to-end system design for new and existing applications, translating functional requirements into detailed architecture (HLD/LLD), including data flow, integration patterns, and API contracts.
  • Define and enforce non-functional requirements (NFRs) β€” performance, scalability, availability, security, maintainability, observability β€” and validate designs against them through architecture reviews, load testing strategy, and capacity planning.
  • Architect solutions using the Java stack (Core Java, Spring Boot/Spring Cloud, microservices, REST/gRPC APIs, messaging systems like Kafka/RabbitMQ).
  • Evaluate and integrate AI/ML capabilities into applications β€” e.g., LLM-based features, RAG pipelines, ML model serving, prompt engineering, or integration with AI platforms (OpenAI, Anthropic, AWS Bedrock, SageMaker, etc.), depending on project needs.
  • Design and guide deployment architecture on AWS β€” compute (EC2, ECS/EKS, Lambda), storage (S3, RDS, DynamoDB), networking (VPC, API Gateway), and security (IAM, KMS).
  • Conduct technical risk assessments, identify architectural trade-offs, and present recommendations to stakeholders and leadership.
  • Collaborate with product managers, engineering leads, and QA to ensure architecture aligns with business goals and delivery timelines.
  • Create and maintain architecture documentation β€” system diagrams, data models, sequence diagrams, decision records (ADRs).
  • Provide technical mentorship to development teams; review code/design for adherence to architectural standards.
  • Drive proof-of-concepts (POCs) for new technologies, frameworks, or AI integrations before full-scale adoption.
  • Participate in capacity planning, disaster recovery, and cost optimization exercises for cloud-hosted systems.
Β 
Requirements:
  • Strong experience in system/solution design β€” able to independently produce HLD/LLD covering both functional and non-functional aspects.
  • Deep hands-on expertise in the Java ecosystem: Java (8/11/17+), Spring Boot, Spring Cloud, Hibernate/JPA, RESTful services, microservices architecture.
  • Practical exposure to AI/ML stack β€” could include LLM integration, vector databases, RAG architectures, ML frameworks (TensorFlow/PyTorch), or AI-assisted development tooling. (Depth expected varies by role β€” clarify with client whether this is "AI-aware architect" vs "hands-on ML engineer.")
  • Solid experience with AWS services: EC2, S3, RDS, Lambda, ECS/EKS, API Gateway, CloudWatch, IAM; AWS certification (Solutions Architect – Associate/Professional) is a plus.
  • Strong understanding of NFRs: designing for scalability (horizontal/vertical), high availability, fault tolerance, security (OWASP, data encryption), and observability (logging, monitoring, tracing).
  • Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline).
  • Familiarity with database technologies β€” both relational (PostgreSQL, MySQL, Oracle) and NoSQL (DynamoDB, MongoDB).
  • Strong communication skills β€” ability to present architecture decisions to both technical and non-technical stakeholders.
  • Experience in application/database migration or modernization projects (legacy to cloud-native).
  • Exposure to event-driven architecture and streaming platforms (Kafka, Kinesis).
  • Knowledge of Infrastructure as Code (Terraform, CloudFormation).
  • Prior experience in a client-facing architect or presales role.
Β 
Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities

Solution Architect – Java, AI & Cloud (AWS) Β· ICONMA, LLC

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