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Solution Architect – Java, AI & Cloud (AWS)

ICONMA

Role overview

Qualifications

  • Strong experience in system/solution design
  • Deep hands-on expertise in the Java ecosystem
  • Practical exposure to AI/ML stack
  • Solid experience with AWS services

Responsibilities

  • Own end-to-end system design for new and existing applications
  • Define and enforce non-functional requirements (NFRs)
  • Architect solutions using the Java stack
  • Evaluate and integrate AI/ML capabilities into applications

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

Links

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Job description

Our Client, an IT Services and Consultant company, is looking for a Solution Architect – Java, AI & Cloud (AWS) for their Atlanta, GA / Remote location.
 
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) — performance, scalability, availability, security, maintainability, observability — 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 — 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 — 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 — 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.
 
Requirements:
  • Strong experience in system/solution design — 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 — could include LLM integration, vector databases, RAG architectures, ML frameworks (TensorFlow/PyTorch), or AI-assisted development tooling. (Depth expected varies by role — 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 — both relational (PostgreSQL, MySQL, Oracle) and NoSQL (DynamoDB, MongoDB).
  • Strong communication skills — 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.
 
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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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