Senior AI Cloud Solutions Architect
$147,760–$240,110 year
On-siteIrving, Texas, United States or Peoria, Illinois, United States
Job Summary
Design and implement cloud-native architectures across AWS and Azure supporting AI, analytics, data platforms, and enterprise applications for the Global Finance Services Division. Build and maintain Infrastructure-as-Code to automate provisioning, governance, and deployment of cloud resources while designing secure networking, identity, and data protection controls in partnership with cybersecurity teams. Lead cost optimization, observability, and operational excellence initiatives, and drive application modernization utilizing microservices, event-driven architectures, and serverless computing. Evaluate emerging cloud technologies and provide recommendations for adoption across Global Finance. This role blends architecture leadership with hands-on engineering to deliver secure, resilient, cost-effective cloud platforms that power enterprise-scale AI and finance applications.
Required Qualifications
- 10+ years of cloud architecture, cloud engineering, or software/application architecture experience
- Deep hands-on experience delivering enterprise-scale hybrid and multi-cloud solutions in both AWS and Azure
- Strong expertise with Terraform and cloud automation, plus Kubernetes, containerized, and microservices-based solutions
- Enterprise networking knowledge including VPNs, private connectivity, DNS, load balancing, and network security
- Experience implementing DevOps and CI/CD platforms, including artifact management with JFrog Artifactory
- Experience integrating cloud solutions with ServiceNow workflows, APIs, and operational processes
- Familiarity with AI/ML workloads and the infrastructure required to support modern AI applications
- Working knowledge of FinOps principles, architecture reviews, security assessments, and technology governance
- Expert knowledge of AWS and Azure compute, storage, networking, identity, monitoring, governance, resiliency, and security services
- Infrastructure as Code: Terraform, CloudFormation, and similar automation frameworks at enterprise scale
- Cloud Security and Governance: IAM, RBAC, encryption, key and secrets management, network segmentation, and compliance-aligned architecture
- Containers and Orchestration: Docker, Kubernetes, AKS, and EKS
- DevOps and Platform Engineering: CI/CD with Azure DevOps and/or GitHub Actions
- Data and Integration Architecture: Data lakes, API management, event-driven and messaging patterns, and enterprise integration
- Reliability Engineering: Highly available, observable, disaster-recovery-capable solutions that meet availability and performance objectives
- Translating business and technical requirements into practical designs, roadmaps, and governance processes
- Effective Communication: Explaining complex technical concepts to technical and non-technical audiences and influencing decisions across teams
- Must be able to lift 50 lbs
Desired Qualifications
- JFrog Artifactory for image, artifact, and software supply chain management is a plus
- Azure: App Services, Functions, AKS, API Management, Key Vault, Storage, SQL Database, Monitor, Virtual Networks, DevOps, AI Services
- AWS: EC2, ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, VPC, IAM, CloudWatch, EventBridge, Step Functions
- DevOps & Platform: Terraform, CloudFormation, ARM Templates, GitHub and GitHub Actions, Azure DevOps Pipelines, Docker, Kubernetes, JFrog Artifactory, ServiceNow
- Development & Integration: Python, C#, JavaScript/TypeScript, REST APIs, microservices, event-driven architectures, serverless computing
- Preferred Technical Experience: Azure: App Services, Functions, AKS, API Management, Key Vault, Storage, SQL Database, Monitor, Virtual Networks, DevOps, AI Services
- Preferred Technical Experience: AWS: EC2, ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, VPC, IAM, CloudWatch, EventBridge, Step Functions
- Preferred Technical Experience: DevOps & Platform: Terraform, CloudFormation, ARM Templates, GitHub and GitHub Actions, Azure DevOps Pipelines, Docker, Kubernetes, JFrog Artifactory, ServiceNow
- Preferred Technical Experience: Development & Integration: Python, C#, JavaScript/TypeScript, REST APIs, microservices, event-driven architectures, serverless computing
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