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Aws Distribution Jobs in Andrews, SC (NOW HIRING)

W3Global Inc.

QC Manager

Georgetown, SC · On-site

... electrical distribution assemblies, and structural supports. * Coordinate non-destructive ... Manage weld documentation and traveler packages in accordance with ASME, AWS, and client-specific ...

Relativity

Senior Security Engineer, IAM

Charleston, SC · On-site

$107K - $146K/yr

Experience securing SaaS, cloud-native, or globally distributed regulated environments. * Cloud IAM experience across AWS, Azure, or GCP, and securing non-human/workload identities at scale.

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Aws Distribution information

See Andrews, SC salary details

$15

$41

$66

How much do aws distribution jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for aws distribution in Andrews, SC is $41.34, according to ZipRecruiter salary data. Most workers in this role earn between $32.74 and $48.75 per hour, depending on experience, location, and employer.

What is AWS Distribution?

AWS Distribution refers to the network of authorized partners and resellers who distribute Amazon Web Services (AWS) products and services to customers. These distributors help businesses access AWS cloud solutions, manage billing, provide technical support, and sometimes offer additional services such as training or migration assistance. Working with an AWS distributor can make it easier for organizations to adopt cloud technologies, especially if they need local expertise or support. Distributors often help ensure that customers select and implement the right AWS services for their needs.

What are the key skills and qualifications needed to thrive as an AWS Distribution specialist, and why are they important?

To thrive as an AWS Distribution Specialist, you need expertise in cloud computing concepts, AWS services, and distribution logistics, often supported by a relevant technical degree and AWS certifications such as AWS Certified Solutions Architect or AWS Certified Cloud Practitioner. Proficiency with AWS Management Console, automation tools, and monitoring systems is typically required. Strong problem-solving skills, effective communication, and attention to detail help professionals excel in managing cloud resources and coordinating with stakeholders. These skills ensure secure, efficient, and scalable distribution of AWS solutions while meeting organizational needs.

What are some common challenges faced by professionals in AWS Distribution roles, and how can they be addressed?

Professionals in AWS Distribution often work with a wide range of clients and must ensure seamless integration of AWS services into diverse infrastructures. Common challenges include staying updated with rapidly evolving cloud technologies, troubleshooting complex deployment issues, and managing large-scale migrations with minimal downtime. To address these, it's important to engage in ongoing training, leverage AWS documentation and support resources, and collaborate closely with both technical and non-technical teams. Building strong communication skills and maintaining flexibility in problem-solving are key to success in this role.

What is the difference between Aws Distribution vs Cloud Engineer?

AspectAws DistributionCloud Engineer
CertificationsAWS Certified Cloud Practitioner, AWS Certified Solutions ArchitectAWS Certified Solutions Architect, AWS Certified Developer
Work EnvironmentFocuses on deploying and managing AWS services, often in data centers or cloud environmentsDesigning, developing, and maintaining cloud-based applications and infrastructure
Industry UsagePrimarily in cloud service providers, data centers, and companies utilizing AWS infrastructureAcross various industries implementing cloud solutions, including tech, finance, and healthcare

While Aws Distribution involves managing and deploying AWS services, Cloud Engineers focus on designing and building cloud applications. Both roles require AWS certifications and work within cloud environments, but their core responsibilities differ in scope and focus.

Are AWS distribution jobs still in demand?

AWS distribution roles, often related to cloud infrastructure and content delivery, remain in demand due to the ongoing growth of cloud computing and digital services. Skills in AWS services, certifications, and knowledge of networking and security increase employability in this field.
Aws Distribution jobs near you

Senior AI Solutions Architect (Remote Opportunity)

VetsEZ

Charleston, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
  • Evaluate AI technologies, services, and frameworks to support current and future project needs.
  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
  • Optimize AI architectures for scalability, operational cost, reliability, and response time.
  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  • Design integration between AI services and existing enterprise healthcare applications.
  • Define secure interfaces utilizing REST APIs and modern integration patterns.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.
  • Promote consistent architecture patterns and engineering best practices across JLV development teams.
  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering, source-grounded AI evaluation, and hallucination testing
  • Vector databases, embeddings, and semantic search
  • REST APIs and enterprise integration
  • Cloud architecture and distributed systems
  • DevSecOps and CI/CD
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of enterprise architecture principles and cloud-native application design.
  • Experience balancing AI performance, scalability, security, explainability, and operational cost.
  • Excellent analytical, architectural, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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