AWS Cloud Solution Architect

HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J51709Job Title:AWS Cloud Solution ArchitectLocation:Chicago, ILDuration:24 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsOracle HCM Cloud Technical Consultant - Kansas, KYAWS Cloud Developer - Trenton, NJAI Architect - Hoboken, NJ.Net Architect - Little Rock, AR.NET Architect - Tallahassee, FLJob DetailsAWS Cloud Solution ArchitectNorth Michigan Ave, Chicago, ILContractRole OverviewThe AWS Cloud Architect will lead the design, planning, and execution of the Data Center Exit (DC Exit) program. This role focuses on migrating on-premises infrastructure, applications, and services to AWS Cloud while ensuring performance, scalability, cost efficiency, and compliance with enterprise standards. The architect will partner with cross-functional teams including application owners, infrastructure engineers, and security teams to define and deliver the end-state cloud architecture.Key ResponsibilitiesAssessment & Planning:Conduct Migration Portfolio Assessment (MPA) and Migration Readiness Assessment (CAF) across business, governance, security, and operations.Define 7R application dispositions, build dependency maps, and create migration wave plans with TCO and risk analysis.Cloud Architecture & DesignDesign scalable, secure, and resilient AWS cloud solutions to replace on-prem data center infrastructure.Develop target-state architecture, migration blueprints, and reference architectures aligned with AWS best practices and the AWS Well-Architected Framework.Select appropriate AWS services (e.g., EC2, ECS, EKS, RDS, S3, Lambda, CloudFront, CloudFormation, IAM) for various workloads.Migration & ExecutionLead migration assessments, application dependency mapping, and wave planning.Collaborate with migration teams to execute lift-and-shift, re-platforming, or re-architecting strategies.Oversee workload migration validation, performance tuning, and post-migration optimization.Governance & SecurityImplement cloud governance, compliance, and cost-management practices.Ensure security controls (IAM, KMS, VPC security, GuardDuty, etc.) meet enterprise and regulatory standards.Define tagging standards, automation templates, and operational guardrails.Collaboration & LeadershipPartner with application teams, networking, and operations to ensure a seamless transition from on-prem to AWS.Mentor teams on cloud-native practices, automation, and DevOps adoption.Provide executive reporting on progress, risks, and mitigation strategies for the DC Exit initiative.Required QualificationsBachelor s degree in Computer Science, Engineering, or related field (or equivalent experience).12+ years of experience in infrastructure, cloud, or enterprise architecture.8+ years of hands-on AWS Cloud architecture experience, including VPC design, IAM, EC2, RDS, S3, CloudFormation/Terraform, and monitoring tools (CloudWatch, Config).Proven experience leading large-scale data center migration or exit programs.Strong understanding of networking, security, automation (CI/CD, IaC), and hybrid cloud connectivity.Experience with migration tools (CloudEndure, AWS Migration Hub, Application Discovery Service).Strong knowledge of networking, security, and compliance frameworks.Preferred QualificationsAWS Certified Solutions Architect Professional (preferred) or Associate.Familiarity with multi-account strategy and AWS Control Tower.Experience in cost optimization and FinOps practices.Exposure to modernization (containers, serverless, microservices) and DevOps practices.Excellent stakeholder management and communication skills.Apply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.